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1.
Bigelow, Daniel.
Intent Recognition in Multi-Agent Domains.
Degree: 2013, University of Nevada – Reno
URL: http://hdl.handle.net/11714/3101 
► Intent recognition is an extremely important aspect of social robotics. The ability to recognize and react to intentions is not only an integral part of…
(more)
▼ Intent
recognition is an extremely important aspect of social robotics. The ability to recognize and react to intentions is not only an integral part of social interaction, but is also useful in adversarial domains, as discussed in this thesis. It is especially important to be capable of performing intent
recognition in multi-agent settings, both in terms of recognizing low-level intentions for individual agents, and of recognizing coordinated agents of multiple agents. This is because in real-world domains, it is rare to be performing tasks which require intent
recognition in sparsely populatedenvironments. In this thesis, we present solutions to various aspects of the intent
recognition problem. First, we introduce a framework for testing intent
recognition systems in the multi-agent domain. This framework is modular in nature, making it easy to make changes to individual pieces of the system, and includes an open-source naval simulator, a low-level intent
recognition module, a high-level intent
recognition module, and a module for controlling the movements of the simulated agents.This thesis also presents an extension of the work presented in [17, 18] to the multi-agent domain. We solve the problem of applying the hidden Markov formulation of the intent
recognition problem to multiple agents while still operating in real-time by parallelizing various steps of the intent
recognition algorithm, and relax the constraint that the topology of the HMMs must be designed by hand. In addition to this application of a low-level intent
recognition system to the multi-agent domain, we also present a method for recognizing intentions which require cooperation between multiple agents. We do this by encoding high-level intentions in an activation network [1]. This approach addresses some of the drawbacks of traditional plan
recognition techniques, including the difficulties presented by searching large plan libraries, and the difficulties in recognizing multiple plans which are being performed simultaneously.
Advisors/Committee Members: Nicolescu, Monica (advisor), Louis, Sushil (committee member), Kozubowski, Tomasz (committee member).
Subjects/Keywords: Intent Recognition; Plan Recognition
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APA (6th Edition):
Bigelow, D. (2013). Intent Recognition in Multi-Agent Domains. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/3101
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bigelow, Daniel. “Intent Recognition in Multi-Agent Domains.” 2013. Thesis, University of Nevada – Reno. Accessed March 01, 2021.
http://hdl.handle.net/11714/3101.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bigelow, Daniel. “Intent Recognition in Multi-Agent Domains.” 2013. Web. 01 Mar 2021.
Vancouver:
Bigelow D. Intent Recognition in Multi-Agent Domains. [Internet] [Thesis]. University of Nevada – Reno; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/11714/3101.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bigelow D. Intent Recognition in Multi-Agent Domains. [Thesis]. University of Nevada – Reno; 2013. Available from: http://hdl.handle.net/11714/3101
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Edinburgh
2.
Macfarlane, Jamie.
The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes.
Degree: 2010, University of Edinburgh
URL: http://hdl.handle.net/1842/4999
► The provision of environmental support is known to have differential effects on recognition memory in younger and older adults. Age-related differences within recognition memory were…
(more)
▼ The provision of environmental support is known to have differential effects on
recognition memory in younger and older adults. Age-related differences within
recognition memory were explored by investigating recollection and familiarity, and looking at their relationship with associative
recognition memory. Additionally, environmental support, manipulated by different encoding conditions, was investigated by looking at its effect on this relationship, by comparing
recognition memory for items and their associations, in younger and older adults. These were assessed by measures of subjective conscious recollection, that utilized the “remember-know” paradigm, and an objective recollection test, in which
recognition memory for associative details was assessed.
The results showed that older adults displayed no impairments in
recognition memory, however a deficit in their associative
recognition memory was discovered. Environmental support, implemented by directing attention during encoding, enhanced memory for associative details, however no effects were found on
recognition memory. The relationship between
recognition memory and associative
recognition memory was strengthened by provision of environmental support, with younger and older adults affected to a similar degree.
Advisors/Committee Members: Morcom, Alexa.
Subjects/Keywords: recognition memory
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APA (6th Edition):
Macfarlane, J. (2010). The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4999
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Macfarlane, Jamie. “The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes.” 2010. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/4999.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Macfarlane, Jamie. “The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes.” 2010. Web. 01 Mar 2021.
Vancouver:
Macfarlane J. The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/4999.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Macfarlane J. The Effect of Ageing on the Relationship between Subjective and Objective Recollection after Differential Encoding Processes. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4999
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Tulane University
3.
Chinn, Lisa.
Development of self-knowledge: Tactile localization to self-recognition.
Degree: 2019, Tulane University
URL: https://digitallibrary.tulane.edu/islandora/object/tulane:92035
► [email protected]
These two studies focused on the development of infants’ functional body knowledge. Many aspects of infant body knowledge have been researched extensively. For example,…
(more)
▼ [email protected]
These two studies focused on the development of infants’ functional body knowledge. Many aspects of infant body knowledge have been researched extensively. For example, body parts are mapped onto the somatosensory cortex at least coarsely in infants as young as a few days old or older (Le Cornu Knight, Cowie, & Bremner, 2016; Milh et al., 2007). Infants also have some integration of sensory inputs and motor outputs, as evidenced by their ability to look toward the source of a sound during the first half-year of life (Ashmead, Davis, Whalen, & Odom, 1991; Morrongiello, Fenwick, Hillier, & Chance, 1994). Additionally, infants have some knowledge of body structure, as they can detect discrepancies in the arrangement of the configuration of these body parts and distortions in body part size as early as 3.5 months of age (Zieber, Kangas, Hock, & Bhatt, 2015). Most previous research has focused on nervous system structure, knowledge of body structure, or reactive responses to the environment. Less is known about the development of the agentive response of infants localizing targets on their bodies. In a longitudinal study, vibrating targets were placed on eight different face locations approximately every other week starting as young as 2 months of age to test the development of infants’ ability to reach to targets on the surface of the body. The primary findings were that the ability to reach to targets on the face improved with age, and infants could reach to the mouth earlier than the other face locations. In a second study, these infants then received additional experience with a visual-proprioceptive-tactile contingency in the mirror, which accelerated mirror self-recognition relative to two control group.
1
Lisa Chinn
Advisors/Committee Members: (author), Lockman, Jeffrey (Thesis advisor), (Thesis advisor), School of Science & Engineering Psychology (Degree granting institution), NULL (Degree granting institution).
Subjects/Keywords: self-recognition
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APA (6th Edition):
Chinn, L. (2019). Development of self-knowledge: Tactile localization to self-recognition. (Thesis). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:92035
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chinn, Lisa. “Development of self-knowledge: Tactile localization to self-recognition.” 2019. Thesis, Tulane University. Accessed March 01, 2021.
https://digitallibrary.tulane.edu/islandora/object/tulane:92035.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chinn, Lisa. “Development of self-knowledge: Tactile localization to self-recognition.” 2019. Web. 01 Mar 2021.
Vancouver:
Chinn L. Development of self-knowledge: Tactile localization to self-recognition. [Internet] [Thesis]. Tulane University; 2019. [cited 2021 Mar 01].
Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:92035.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chinn L. Development of self-knowledge: Tactile localization to self-recognition. [Thesis]. Tulane University; 2019. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:92035
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
San Jose State University
4.
Fjagesund, Helene.
The Effect of Managerial Recognition Practices on Job Safisfaction.
Degree: MS, Psychology, 2018, San Jose State University
URL: https://doi.org/10.31979/etd.6et4-v9m4
;
https://scholarworks.sjsu.edu/etd_theses/4901
► The purpose of this study was to investigate how different employee recognition practices exhibited by managers are related to employee job satisfaction. Because recognition…
(more)
▼ The purpose of this study was to investigate how different employee recognition practices exhibited by managers are related to employee job satisfaction. Because recognition has previously been shown to increase desired positive organizational outcomes such as productivity, engagement, and motivation, the aim of this study was to determine the extent to which these relationships could also be observed between recognition and job satisfaction. Six hypotheses were generated suggesting that higher levels of job satisfaction could be determined by what the literature considered best practices in recognition: recognition that was performance contingent, differentiated by performance levels, spontaneous, specific, informal, public, verbal and individualized. Semi-structured interviews were conducted with 24 managers working at a technology/manufacturing company. The managers’ responses regarding their recognition practices were compared with their employees’ satisfaction scores on a company survey through a Chi-square analysis. No significant relationships were found between any of the recognition practices and job satisfaction; however the direction of the results indicated support for the positive effects of spontaneous, specific, informal and verbal recognition on job satisfaction. The lack of significance in results is explained in terms of a small sample size and the method in which the data were collected. Suggestions for improvements and future research are given, focusing on improving the data collection methods, as well as controlling for biases in the participants.
Subjects/Keywords: Recognition; Satisfaction
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APA (6th Edition):
Fjagesund, H. (2018). The Effect of Managerial Recognition Practices on Job Safisfaction. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6et4-v9m4 ; https://scholarworks.sjsu.edu/etd_theses/4901
Chicago Manual of Style (16th Edition):
Fjagesund, Helene. “The Effect of Managerial Recognition Practices on Job Safisfaction.” 2018. Masters Thesis, San Jose State University. Accessed March 01, 2021.
https://doi.org/10.31979/etd.6et4-v9m4 ; https://scholarworks.sjsu.edu/etd_theses/4901.
MLA Handbook (7th Edition):
Fjagesund, Helene. “The Effect of Managerial Recognition Practices on Job Safisfaction.” 2018. Web. 01 Mar 2021.
Vancouver:
Fjagesund H. The Effect of Managerial Recognition Practices on Job Safisfaction. [Internet] [Masters thesis]. San Jose State University; 2018. [cited 2021 Mar 01].
Available from: https://doi.org/10.31979/etd.6et4-v9m4 ; https://scholarworks.sjsu.edu/etd_theses/4901.
Council of Science Editors:
Fjagesund H. The Effect of Managerial Recognition Practices on Job Safisfaction. [Masters Thesis]. San Jose State University; 2018. Available from: https://doi.org/10.31979/etd.6et4-v9m4 ; https://scholarworks.sjsu.edu/etd_theses/4901
5.
Thangarajan R.
Syllable modeling in continuous Speech recognition for
tamil Language;.
Degree: Syllable modeling in continuous Speech recognition for
tamil Language, 2014, Anna University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/26450
► Automatic speech recognition transcribes spoken words into text newlineSome of the challenging issues in speech recognition include variability in newlinephonetic context inconsistency of speaking style…
(more)
▼ Automatic speech recognition transcribes spoken
words into text newlineSome of the challenging issues in speech
recognition include variability in newlinephonetic context
inconsistency of speaking style unevenness among different
newlinespeakers and noise in the environment In this thesis
continuous speech newlinerecognition of the Tamil language is
considered Tamil is an agglutinative newlinelanguage in which the
morphological process of adding affixes to the base of newlinea
word is very common Tamil is a syllable timed language which has a
newlineunique feature called the prosodic syllable Intonation and
duration of an newlineutterance in Tamil is based systematically on
the prosodic syllable newlineTwo methodologies have been proposed
to address the context newlinevariability among phonetic units
newline newline
appendix p117-118, reference
p119-125.
Advisors/Committee Members: Natarajan A M.
Subjects/Keywords: Speech recognition
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Manager
APA (6th Edition):
R, T. (2014). Syllable modeling in continuous Speech recognition for
tamil Language;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26450
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
R, Thangarajan. “Syllable modeling in continuous Speech recognition for
tamil Language;.” 2014. Thesis, Anna University. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/26450.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
R, Thangarajan. “Syllable modeling in continuous Speech recognition for
tamil Language;.” 2014. Web. 01 Mar 2021.
Vancouver:
R T. Syllable modeling in continuous Speech recognition for
tamil Language;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26450.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
R T. Syllable modeling in continuous Speech recognition for
tamil Language;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26450
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
6.
Arslan, Ali.
Exploring the Role of Motion and Depth in Action
Perception.
Degree: PhD, Cognitive Sciences, 2015, Brown University
URL: https://repository.library.brown.edu/studio/item/bdr:674175/
► Recognizing the content of human actions is an important skill in our adaptation to the environment. We rely on our visual system to constantly interpret…
(more)
▼ Recognizing the content of human actions is an
important skill in our adaptation to the environment. We rely on
our visual system to constantly interpret the actions, intentions,
physical and emotional states of the people around us. In this
work, we provide a computational investigation of the visual
representations that enable the visual system to decode this rich
modality of information. Using biological motion as the starting
point, we investigated the role of mid-level motion, disparity and
form cues in biological motion and action
recognition at large. The
joint representations of motion and disparity seem to approximate
the selectivity properties of primate medial temporal area cells.
When we evaluated the mid-level visual features in an action
recognition task, we found that the form cue carries sufficient
diagnostic information for actions performed by realistic actors.
However, form cues fail drastically for point-light displays where
the actor composed of 10-12 moving markers. Our results suggest
that learning the correspondence between motion and disparity might
cues explain how people can readily recognize the actions shown in
point-light displays without any training. Reflecting human
psychophysics performance, the correspondence between motion and
disparity also provides insight on how people perceive the
under-constrained, ambiguous depth structure in point-light
displays as a congruent figure. In conclusion, we reason that the
joint learning of motion and disparity can be the basis of
structural representations used in action
recognition.
Advisors/Committee Members: Thomas, Serre (Director), William, Warren (Reader), David, Sheinberg (Reader).
Subjects/Keywords: action recognition
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Manager
APA (6th Edition):
Arslan, A. (2015). Exploring the Role of Motion and Depth in Action
Perception. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674175/
Chicago Manual of Style (16th Edition):
Arslan, Ali. “Exploring the Role of Motion and Depth in Action
Perception.” 2015. Doctoral Dissertation, Brown University. Accessed March 01, 2021.
https://repository.library.brown.edu/studio/item/bdr:674175/.
MLA Handbook (7th Edition):
Arslan, Ali. “Exploring the Role of Motion and Depth in Action
Perception.” 2015. Web. 01 Mar 2021.
Vancouver:
Arslan A. Exploring the Role of Motion and Depth in Action
Perception. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2021 Mar 01].
Available from: https://repository.library.brown.edu/studio/item/bdr:674175/.
Council of Science Editors:
Arslan A. Exploring the Role of Motion and Depth in Action
Perception. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:674175/
7.
Nestor, Adrian R.
The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing.
Degree: PhD, Cognitive Sciences, 2009, Brown University
URL: https://repository.library.brown.edu/studio/item/bdr:194/
► The representational format and the specific feature codes used by face processing are key issues in the study of both human and automatic face recognition.…
(more)
▼ The representational format and the specific feature
codes used by face processing are key issues in the study of both
human and automatic face
recognition. The work described in this
dissertation explores these issues using a combination of
behavioral testing, neuroimaging (fMRI), computational modeling and
image analysis. The core idea of this work is that systems for
automatic
recognition can serve as models and as test beds for
computational accounts of human face processing at both the
behavioral and neural levels. The first study describes a method
for human-guided facial feature segmentation that allows one to
make explicit the part-whole structure of faces and removes a
priori assumptions concerning the way faces should be divided into
parts. The study examines the utility and the psychological
plausibility of this format by applying it to the task of facial
gender
recognition. The second study explores a representational
format that uses image fragments to encode object category and
applies it to the study of two
recognition tasks: detection and
identification. Within this framework, we assess the extent to
which diagnosticity with respect to the two tasks differs across
image fragments. Based on objective differences we find between
task-specific representations, we test and confirm the sensitivity
of the human visual system to these different face descriptions
independently of one another. Finally, the third study examines the
possibility of deriving feature codes for face detection directly
from the pattern of behavioral / neural responses elicited by noise
fields. The results converge on a coarse but robust visual
structure highly diagnostic for face detection. In sum, our present
work explores region-based visual representations for face
processing. We argue for the value of these representational
formats based on both computational performance and empirical
evidence.
Advisors/Committee Members: Tarr, Michael (director), Badre, David (reader), Sheinberg, David (reader).
Subjects/Keywords: face recognition
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Manager
APA (6th Edition):
Nestor, A. R. (2009). The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:194/
Chicago Manual of Style (16th Edition):
Nestor, Adrian R. “The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing.” 2009. Doctoral Dissertation, Brown University. Accessed March 01, 2021.
https://repository.library.brown.edu/studio/item/bdr:194/.
MLA Handbook (7th Edition):
Nestor, Adrian R. “The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing.” 2009. Web. 01 Mar 2021.
Vancouver:
Nestor AR. The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2021 Mar 01].
Available from: https://repository.library.brown.edu/studio/item/bdr:194/.
Council of Science Editors:
Nestor AR. The Featural Code of Face Perception: Three Studies of Human
and Automatic Visual Face Processing. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:194/
University of KwaZulu-Natal
8.
Schuld, Maria.
Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.
Degree: 2017, University of KwaZulu-Natal
URL: http://hdl.handle.net/10413/15748
► Humans are experts at recognising patterns in past experience and applying them to new tasks. For example, after seeing pictures of a face we can…
(more)
▼ Humans are experts at recognising patterns in past experience and applying them to new tasks.
For example, after seeing pictures of a face we can usually tell if another image contains the
same person or not. Machine learning is a research discipline at the intersection of computer
science, statistics and mathematics that investigates how pattern
recognition can be performed
by machines and for large amounts of data. Since a few years machine learning has come
into the focus of quantum computing in which information processing based on the laws of
quantum theory is explored. Although large scale quantum computers are still in the first stages
of development, their theoretical description is well-understood and can be used to formulate
`quantum software' or `quantum algorithms' for pattern
recognition. Researchers can therefore
analyse the impact quantum computers may have on intelligent data mining. This approach is
part of the emerging research discipline of quantum machine learning that harvests synergies
between quantum computing and machine learning.
The research objective of this thesis is to understand how we can solve a slightly more specific
problem called supervised pattern
recognition based on the language that has been developed
for universal quantum computers. The contribution it makes is twofold: First, it presents a
methodology that understands quantum machine learning as the combination of data encoding into
quantum systems and quantum optimisation. Second, it proposes several quantum algorithms for
supervised pattern
recognition. These include algorithms for convex and non-convex optimisation,
implementations of distance-based methods through quantum interference, and the preparation of
quantum states from which solutions can be derived via sampling. Amongst the machine learning
methods considered are least-squares linear regression, gradient descent and Newton's method,
k-nearest neighbour, neural networks as well as ensemble methods. Together with the growing
body of literature, this thesis demonstrates that quantum computing offers a number of interesting
tools for machine learning applications, and has the potential to create new models of how to learn
from data.
Advisors/Committee Members: Petruccione, Francesco. (advisor), Sinayskiy, Llya. (advisor).
Subjects/Keywords: Pattern.; Recognition.
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APA ·
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Manager
APA (6th Edition):
Schuld, M. (2017). Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15748
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Schuld, Maria. “Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.” 2017. Thesis, University of KwaZulu-Natal. Accessed March 01, 2021.
http://hdl.handle.net/10413/15748.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Schuld, Maria. “Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.” 2017. Web. 01 Mar 2021.
Vancouver:
Schuld M. Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10413/15748.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Schuld M. Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15748
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Boston College
9.
Ray, Matt.
What We Do When We Recognize.
Degree: PhD, Philosophy, 2018, Boston College
URL: http://dlib.bc.edu/islandora/object/bc-ir:107952
► What action or actions does a person perform when she recognizes someone? I argue she engages in a process composed of four parts. First, she…
(more)
▼ What action or actions does a person perform when she
recognizes someone? I argue she engages in a process composed of
four parts. First, she attends to the
subject in a particular
manner. Second, she uses the information gathered in the first
stage to categorize the
subject. Third, she appreciates the import
or significance of the
subject in light of the category she
employs. Fourth, she acknowledges the
subject by engaging the
subject’s attention as one who bears that import and that category.
My analysis helps us interpret theories of
recognition. One
clarifies a theory’s specific claims by decomposing theories into
instances of recognizing and then further analyzing each instance
into discrete actions. First one determines how many instances of
the process are involved by stating who does what to whom and for
what end. Once instances are separated, one analyses each instance
into its four components by describing the agent’s progress through
the process of recognizing. The final result is an organizing body
of specific claims with well-defined relations to one
another.
Advisors/Committee Members: Jorge Garcia (Thesis advisor).
Subjects/Keywords: Recognition; Anerkennung
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APA (6th Edition):
Ray, M. (2018). What We Do When We Recognize. (Doctoral Dissertation). Boston College. Retrieved from http://dlib.bc.edu/islandora/object/bc-ir:107952
Chicago Manual of Style (16th Edition):
Ray, Matt. “What We Do When We Recognize.” 2018. Doctoral Dissertation, Boston College. Accessed March 01, 2021.
http://dlib.bc.edu/islandora/object/bc-ir:107952.
MLA Handbook (7th Edition):
Ray, Matt. “What We Do When We Recognize.” 2018. Web. 01 Mar 2021.
Vancouver:
Ray M. What We Do When We Recognize. [Internet] [Doctoral dissertation]. Boston College; 2018. [cited 2021 Mar 01].
Available from: http://dlib.bc.edu/islandora/object/bc-ir:107952.
Council of Science Editors:
Ray M. What We Do When We Recognize. [Doctoral Dissertation]. Boston College; 2018. Available from: http://dlib.bc.edu/islandora/object/bc-ir:107952
Brunel University
10.
Liu, Jingxin.
Brainwave-based human emotion estimation using deep neural network models for biofeedback.
Degree: PhD, 2019, Brunel University
URL: http://bura.brunel.ac.uk/handle/2438/18141
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774574
► Emotion is a state that comprehensively represents human feeling, thought and behavior, thus takes an important role in interpersonal human communication. Emotion estimation aims to…
(more)
▼ Emotion is a state that comprehensively represents human feeling, thought and behavior, thus takes an important role in interpersonal human communication. Emotion estimation aims to automatically discriminate different emotional states by using physiological and nonphysiological signals acquired from human to achieve effective communication and interaction between human and machines. Brainwaves-Based Emotion Estimation is one of the most common used and efficient methods for emotion estimation research. The technology reveals a great role for human emotional disorder treatment, brain computer interface for disabilities, entertainment and many other research areas. In this thesis, various methods, schemes and frameworks are presented for Electroencephalogram (EEG) based human emotion estimation. Firstly, a hybrid dimension feature reduction scheme is presented using a total of 14 different features extracted from EEG recordings. The scheme combines these distinct features in the feature space using both supervised and unsupervised feature selection processes. Maximum Relevance Minimum Redundancy (mRMR) is applied to re-order the combined features into max-relevance with the emotion labels and min-redundancy of each feature. The generated features are further reduced with Principal Component Analysis (PCA) for extracting the principal components. Experimental results show that the proposed work outperforms the state-of-art methods using the same settings at the publicly available Database for Emotional Analysis using Physiological Signals (DEAP) data set. Secondly, a disentangled adaptive noise learning β-Variational autoencoder (VAE) combine with long short term memory (LSTM) model was proposed for the emotion recognition based on EEG recordings. The experiment is also based on the EEG emotion public DEAP dataset. At first, the EEG time-series data are transformed into the Video-like EEG image data through the Azimuthal Equidistant Projection (AEP) to original EEG-sensor 3-D coordinates to perform 2-D projected locations of electrodes. Then Clough-Tocher scheme is applied for interpolating the scattered power measurements over the scalp and for estimating the values in-between the electrodes over a 32x32 mesh. After that, the βVAE LSTM algorithm is used to estimate the accuracy of the quadratic (arousal-valence) classification. The comparison between the β VAE-LSTM model and other classic methods is conducted at the same experimental setting that shows that the proposed model is effective. Finally, a novel real-time emotion detection system based on the EEG signals from a portable headband was presented, integrated into the interactive film 'RIOT'. At first, the requirement of the interactive film was collected and the protocol for data collection using a portable EEG sensor (Emotiv Epoc) was designed. Then, a portable EEG emotion database (PEED) is built from 10 participants with the emotion labels using both self-reporting and video annotation tools. After that, various feature extraction, feature selection,…
Subjects/Keywords: Emotion recognition
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MLA ·
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APA (6th Edition):
Liu, J. (2019). Brainwave-based human emotion estimation using deep neural network models for biofeedback. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/18141 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774574
Chicago Manual of Style (16th Edition):
Liu, Jingxin. “Brainwave-based human emotion estimation using deep neural network models for biofeedback.” 2019. Doctoral Dissertation, Brunel University. Accessed March 01, 2021.
http://bura.brunel.ac.uk/handle/2438/18141 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774574.
MLA Handbook (7th Edition):
Liu, Jingxin. “Brainwave-based human emotion estimation using deep neural network models for biofeedback.” 2019. Web. 01 Mar 2021.
Vancouver:
Liu J. Brainwave-based human emotion estimation using deep neural network models for biofeedback. [Internet] [Doctoral dissertation]. Brunel University; 2019. [cited 2021 Mar 01].
Available from: http://bura.brunel.ac.uk/handle/2438/18141 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774574.
Council of Science Editors:
Liu J. Brainwave-based human emotion estimation using deep neural network models for biofeedback. [Doctoral Dissertation]. Brunel University; 2019. Available from: http://bura.brunel.ac.uk/handle/2438/18141 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774574
University of Victoria
11.
Gordon, Iris.
Names and faces: the role of name labels in the formation of face representations.
Degree: Dept. of Psychology, 2011, University of Victoria
URL: http://hdl.handle.net/1828/3334
► Although previous research in event-related potentials (ERPs) has focused on the conditions under which faces are recognized, less research has focused on the process by…
(more)
▼ Although previous research in event-related potentials (ERPs) has focused on the conditions under which faces are recognized, less research has focused on the process by which face representations are acquired and maintained. In Experiment I, participants were required to monitor for a target "Joe" face that was shown amongst a series of distractor "Other" faces. At the half-way point, participants were instructed to switch targets from the Joe face to a previous distractor face that is now labeled "Bob". The ERP analysis focused on the posterior N250 component known to index face familiarity and the P300 component associated with context
updating and response decision. Results showed that the N250 increased in negativity to target Joe face compared to the Bob face and a designated Other face. In the second half of the experiment, a more negative N250 was produced to the now target Bob face compared to the Other face. Critical1y, the more negative N250 to the Joe face was maintained even though Joe was no longer the target. The P300 component followed a similar pattern of brain response where the Joe face elicited a significantly larger P300 amplitude than the Other and Bob face. In the Bob half of the experiment, the Bob face elicited a reliably larger P300 than the Other faces
and the heightened P300 to the Joe face was sustained. In Experiment 2, we examined whether the increased N2S0 negativity and enhanced P300 to Joe was due to simple naming effects. Participants were introduced to both Joe and Bob faces and names at the beginning of the experiment. During the first half of the experiment,
participants were to monitor for the Joe face and at the half-way point, they were instructed to switch targets to the Bob face. Findings show that N250 negativity significantly increased to the Joe face relative to the Bob and Other faces in the first half of the experiment and an increased N250 negativity was found for target Bob face and the non-target Joe face in the second half. An increased P300 amplitude was demonstrated to the target Joe and Bob faces in the first and second halves of the experiment, respectively. Importantly, the P300 amplitude elicited by the Joe face equaled the P300 amplitude to the Bob face even though it was no longer the target face.The findings from Experiment 1 and 2 suggest that the N250 component is not solely determined
by name labeling, exposure or task-relevancy, but it is the combination of these factors that contribute to the acquisition of enduring face representations.
Advisors/Committee Members: Tanaka, James William (supervisor).
Subjects/Keywords: face recognition
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APA (6th Edition):
Gordon, I. (2011). Names and faces: the role of name labels in the formation of face representations. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3334
Chicago Manual of Style (16th Edition):
Gordon, Iris. “Names and faces: the role of name labels in the formation of face representations.” 2011. Masters Thesis, University of Victoria. Accessed March 01, 2021.
http://hdl.handle.net/1828/3334.
MLA Handbook (7th Edition):
Gordon, Iris. “Names and faces: the role of name labels in the formation of face representations.” 2011. Web. 01 Mar 2021.
Vancouver:
Gordon I. Names and faces: the role of name labels in the formation of face representations. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1828/3334.
Council of Science Editors:
Gordon I. Names and faces: the role of name labels in the formation of face representations. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3334
University of Illinois – Urbana-Champaign
12.
Xiao, Fangjian Flora.
Experiments with the Shazam music identification algorithm.
Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/104731
► The motivation of this study is to identify music without the original recording. The existing solutions tackle variations in some properties such as background sound…
(more)
▼ The motivation of this study is to identify music without the original recording. The existing solutions tackle variations in some properties such as background sound and white noise, but the identification of samples containing large variations in key, tempo, ornamentation, and harmonization remains largely unsolved.
This study takes an existing algorithm and uses an existing data set to explore the parameters required for successful identification, as well as variations in key. The findings show a simple way to identify and normalize the key of a sample. Future work will tackle tempo and ornamentation challenges.
Advisors/Committee Members: Fleck, Margaret M (advisor).
Subjects/Keywords: music; recognition
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APA (6th Edition):
Xiao, F. F. (2018). Experiments with the Shazam music identification algorithm. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104731
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Xiao, Fangjian Flora. “Experiments with the Shazam music identification algorithm.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed March 01, 2021.
http://hdl.handle.net/2142/104731.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Xiao, Fangjian Flora. “Experiments with the Shazam music identification algorithm.” 2018. Web. 01 Mar 2021.
Vancouver:
Xiao FF. Experiments with the Shazam music identification algorithm. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2142/104731.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Xiao FF. Experiments with the Shazam music identification algorithm. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/104731
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Melbourne
13.
Cheng, Weihao.
Accurate and efficient human activity recognition.
Degree: 2018, University of Melbourne
URL: http://hdl.handle.net/11343/224027
► Human Activity Recognition (HAR) is a promising technology which enables artificial intelligence systems to identify user's physical activities such as walking, running, and cycling. Recently,…
(more)
▼ Human Activity Recognition (HAR) is a promising technology which enables artificial intelligence systems to identify user's physical activities such as walking, running, and cycling. Recently, the demand for HAR is continuously increasing in pace with the rapid development of ubiquitous computing techniques. Major applications of HAR including fitness tracking, safety monitoring, and contextual recommendation have been widely applied in people's daily lives. For example, a music App on smartphones can use HAR to detect the current activity of the user and recommend activity-related songs.
State-of-the-art HAR methods are based on the machine learning technique, where a classification model is trained on a dataset to infer a number of predefined activities. The data for HAR is usually in the form of time series, which can be collected by sensors such as accelerometers, microphones, and cameras. In this thesis, we mainly focus on HAR using the data from inertial sensors, such as accelerations from accelerometers.
A large number of existing studies on HAR aim to obtain high recognition accuracy. However, efficiency is also an important aspect of HAR. In this thesis, we attempt to improve HAR methods for both accuracy and efficiency. Toward this goal, we first devise accurate HAR methods, and then improve the efficiency of HAR while maintaining the accuracy. More specifically, we tackle three problems. The first problem is to accurately recognize the current activity during activity transitions. Existing HAR methods train classification models based on tailored time series containing single activity. However, in practical scenarios, a piece of time series data could capture multiple interleaving activities causing activity transitions. Thus, recognition of the current activity, i.e., the most recent one, is a critical problem to investigate. The second problem is to accurately predict complex activities from ongoing observations. Many time-critical applications, such as safety monitoring, require early recognition of complex activities which are performed over a long period of time. However, without being fully observed, complex activities are hard to be recognized due to their complicated patterns. Therefore, predicting complex activities from ongoing observations is an important task to study. The third problem is to improve energy-efficiency of HAR on mobile devices while maintaining high accuracy. Many applications of HAR are based on mobile devices. However, due to the limited battery capacity, real-time HAR requires minimization of energy cost to extend the operating spans of the devices. Generally, the cost can be cut down by reducing algorithmic computations and sensing frequencies. Yet it is worth to find a maximal cost reduction while preserving a high recognition accuracy.
In this thesis, we present a set of algorithms to address the proposed problems. The key contributions of the thesis can be summarized as follows:
1. We propose a method to accurately recognize the current activity in the presence of…
Subjects/Keywords: activity recognition
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APA (6th Edition):
Cheng, W. (2018). Accurate and efficient human activity recognition. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/224027
Chicago Manual of Style (16th Edition):
Cheng, Weihao. “Accurate and efficient human activity recognition.” 2018. Doctoral Dissertation, University of Melbourne. Accessed March 01, 2021.
http://hdl.handle.net/11343/224027.
MLA Handbook (7th Edition):
Cheng, Weihao. “Accurate and efficient human activity recognition.” 2018. Web. 01 Mar 2021.
Vancouver:
Cheng W. Accurate and efficient human activity recognition. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/11343/224027.
Council of Science Editors:
Cheng W. Accurate and efficient human activity recognition. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/224027
University of Sydney
14.
Poon, Bruce Siu-Lung.
Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
.
Degree: 2016, University of Sydney
URL: http://hdl.handle.net/2123/15891
► The technology of human face recognition is now mature enough to be widely used in security by law enforcement agencies for dealing with criminal activities,…
(more)
▼ The technology of human face recognition is now mature enough to be widely used in security by law enforcement agencies for dealing with criminal activities, government agencies for border control as well as government organizations and private enterprises for access control. However, there are still a lot of room for improvement. In this thesis, we study strategies to improve the recognition accuracy. Two proposed schemes, Principal Component Analysis (PCA) and Gabor wavelet, for human face recognition are discussed and the implementations of sub-modules in each scheme are introduced. In principal component analysis based human face recognition, we started from the basic method by first identified and developed the major testing criteria. Once the major testing criteria were developed, we analyzed those criteria which had significant impacts on the accuracy of recognition. More face databases were used in order to positively identify those criteria. Distorted images with poor illumination at the background had been identified as one of the major impacts on the accuracy of recognition. We then further investigated on this criteria and found ways to improve the results of recognition. In Gabor wavelet based human face recognition, we first examined the classification capability of 40 different basic Gabor phase representations. We utilized those Gabor features from facial images, tested on the selected distorted images and compared the results and findings with the principle component analysis based human face recognition.
Subjects/Keywords: Facial Recognition
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to Zotero / EndNote / Reference
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APA (6th Edition):
Poon, B. S. (2016). Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
. (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15891
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Poon, Bruce Siu-Lung. “Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
.” 2016. Thesis, University of Sydney. Accessed March 01, 2021.
http://hdl.handle.net/2123/15891.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Poon, Bruce Siu-Lung. “Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
.” 2016. Web. 01 Mar 2021.
Vancouver:
Poon BS. Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
. [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2123/15891.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Poon BS. Recognition of human faces in distorted images based on principal component analysis and gabor wavelets
. [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15891
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Florida Atlantic University
15.
Frank, Colin S.
THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY.
Degree: MA, 2020, Florida Atlantic University
URL: http://fau.digital.flvc.org/islandora/object/fau:64686
► This research is a first step towards investigating the impact verbal descriptions can have on an individual’s memory for actors performing actions. Previous research has…
(more)
▼ This research is a first step towards investigating the impact verbal descriptions can have on an individual’s memory for actors performing actions. Previous research has found that verbal descriptions of mugshot-esque, face stimuli can have either a facilitative or inhibitory effect on later recognition. The current study implemented the Person Action Conjunction (PAC) test, along with three separate groups where participants provided descriptions of actions, features of the actors, and holistic attributes of the actors. The results demonstrated that the description group impacted the attention placed on either the action or actor, causing participants to remember those described elements more. Furthermore, it was found that accurately recalling descriptions provided at encoding was significantly and positively correlated with recognition performance. Further research is necessary with different control conditions before an impact of verbal description on the memory for actors and actions can be known.
2020
Degree granted:
Collection: FAU
Advisors/Committee Members: Kersten, Alan (Thesis advisor), Florida Atlantic University (Degree grantor), Department of Psychology, Charles E. Schmidt College of Science.
Subjects/Keywords: Memory; Recognition
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APA (6th Edition):
Frank, C. S. (2020). THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY. (Masters Thesis). Florida Atlantic University. Retrieved from http://fau.digital.flvc.org/islandora/object/fau:64686
Chicago Manual of Style (16th Edition):
Frank, Colin S. “THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY.” 2020. Masters Thesis, Florida Atlantic University. Accessed March 01, 2021.
http://fau.digital.flvc.org/islandora/object/fau:64686.
MLA Handbook (7th Edition):
Frank, Colin S. “THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY.” 2020. Web. 01 Mar 2021.
Vancouver:
Frank CS. THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY. [Internet] [Masters thesis]. Florida Atlantic University; 2020. [cited 2021 Mar 01].
Available from: http://fau.digital.flvc.org/islandora/object/fau:64686.
Council of Science Editors:
Frank CS. THE IMPACT OF DESCRIBING ACTORS AND ACTIONS ON SOURCE MEMORY. [Masters Thesis]. Florida Atlantic University; 2020. Available from: http://fau.digital.flvc.org/islandora/object/fau:64686
Oregon State University
16.
Zhang, Wei.
Image features and learning algorithms for biological, generic and social object recognition.
Degree: PhD, Electrical and Computer Engineering, 2009, Oregon State University
URL: http://hdl.handle.net/1957/11178
► Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been…
(more)
▼ Automated
recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object
recognition problems usually require different image features and corresponding learning algorithms. This dissertation focuses on the design, evaluation and application of new image features and learning algorithms for the
recognition of biological, generic and social objects. The first part of the dissertation introduces a new structure-based interest region detector called the principal curvature-based region detector (PCBR) which detects stable watershed regions that are robust to local intensity perturbations. This detector is specifically designed for region detection for biological objects. Several
recognition architectures are then developed that fuse visual information from disparate types of image features for the categorization of complex objects. The described image features and learning algorithms achieve excellent performance on the difficult stonefly larvae dataset. The second part of the dissertation presents studies of methods for visual codebook learning and their application to object
recognition. The dissertation first introduces the methodology and application of generative visual codebooks for stonefly
recognition and introduces a discriminative evaluation methodology based on a maximum mutual information criterion. Then a new generative/discriminative visual codebook learning algorithm, called iterative discriminative clustering (IDC), is presented that refines the centers and the shapes of the generative codewords for improved discriminative power. It is followed by a novel codebook learning algorithm that builds multiple codebooks that are non-redundant in discriminative power. All these visual codebook learning algorithms achieve high performance on both biological and generic object
recognition tasks. The final part of the dissertation describes a socially-driven clothes
recognition system for an intelligent fitting-room system. The dissertation presents the results of a user study to identify the key factors for clothes
recognition. It then describes learning algorithms for recognizing these key factors from clothes images using various image features. The clothes
recognition system successfully enables automated social fashion information retrieval for an enhanced clothes shopping experience.
Advisors/Committee Members: Dietterich, Thomas G. (advisor), Lee, Yun-Shik (committee member).
Subjects/Keywords: object recognition; Optical pattern recognition – Mathematical models
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Manager
APA (6th Edition):
Zhang, W. (2009). Image features and learning algorithms for biological, generic and social object recognition. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11178
Chicago Manual of Style (16th Edition):
Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Doctoral Dissertation, Oregon State University. Accessed March 01, 2021.
http://hdl.handle.net/1957/11178.
MLA Handbook (7th Edition):
Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Web. 01 Mar 2021.
Vancouver:
Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1957/11178.
Council of Science Editors:
Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11178
17.
Rossol, Nathaniel S.
Novel Methods for Robust Real-time Hand Gesture
Interfaces.
Degree: PhD, Department of Computing Science, 2015, University of Alberta
URL: https://era.library.ualberta.ca/files/cws859f87w
► Real-time control of visual display systems via mid-air hand gestures offers many advantages over traditional interaction modalities. In medicine, for example, it allows a practitioner…
(more)
▼ Real-time control of visual display systems via
mid-air hand gestures offers many advantages over traditional
interaction modalities. In medicine, for example, it allows a
practitioner to adjust display values, e.g. contrast or zoom, on a
medical visualization interface without the need to re-sterilize
the interface. However, there are many practical challenges that
make such interfaces non-robust including poor tracking due to
frequent occlusion of fingers, interference from hand-held objects,
and complex interfaces that are difficult for users to learn to use
efficiently. In this work, various techniques are explored for
improving the robustness of computer interfaces that use hand
gestures. This work is focused predominately on real-time
markerless Computer Vision (CV) based tracking methods with an
emphasis on systems with high sampling rates. First, we explore a
novel approach to increase hand pose estimation accuracy from
multiple sensors at high sampling rates in real-time. This approach
is achieved through an intelligent analysis of pose estimations
from multiple sensors in a way that is highly scalable because raw
image data is not transmitted between devices. Experimental results
demonstrate that our proposed technique significantly improves the
pose estimation accuracy while still maintaining the ability to
capture individual hand poses at over 120 frames per second. Next,
we explore techniques for improving pose estimation for the
purposes of gesture recognition in situations where only a single
sensor is used at high sampling rates without image data. In this
situation, we demonstrate an approach where a combination of
kinematic constraints and computed heuristics are used to estimate
occluded keypoints to produce a partial pose estimation of a user's
hand which is then used with our gestures recognition system to
control a display. The results of our user study demonstrate that
the proposed algorithm significantly improves the gesture
recognition rate of the setup. We then explore gesture interface
designs for situations where the user may (or may not) have a large
portion of their hand occluded by a hand-held tool while gesturing.
We address this challenge by developing a novel interface that uses
a single set of gestures designed to be equally effective for
fingers and hand-held tools without the need for any markers. The
effectiveness of our approach is validated through a user study on
a group of people given the task of adjusting parameters on a
medical image display. Finally, we examine improving the efficiency
of training for our interfaces by automatically assessing key user
performance metrics (such as dexterity and confidence), and
adapting the interface accordingly to reduce user frustration. We
achieve this through a framework that uses Bayesian networks to
estimate values for abstract hidden variables in our user model,
based on analysis of data recorded from the user during operation
of our system.
Subjects/Keywords: Hand pose recognition; Computer Vision; Gesture recognition
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APA (6th Edition):
Rossol, N. S. (2015). Novel Methods for Robust Real-time Hand Gesture
Interfaces. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cws859f87w
Chicago Manual of Style (16th Edition):
Rossol, Nathaniel S. “Novel Methods for Robust Real-time Hand Gesture
Interfaces.” 2015. Doctoral Dissertation, University of Alberta. Accessed March 01, 2021.
https://era.library.ualberta.ca/files/cws859f87w.
MLA Handbook (7th Edition):
Rossol, Nathaniel S. “Novel Methods for Robust Real-time Hand Gesture
Interfaces.” 2015. Web. 01 Mar 2021.
Vancouver:
Rossol NS. Novel Methods for Robust Real-time Hand Gesture
Interfaces. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2021 Mar 01].
Available from: https://era.library.ualberta.ca/files/cws859f87w.
Council of Science Editors:
Rossol NS. Novel Methods for Robust Real-time Hand Gesture
Interfaces. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/cws859f87w
Georgia Tech
18.
Ahsan, Unaiza.
Leveraging mid-level representations for complex activity recognition.
Degree: PhD, Interactive Computing, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61199
► Dynamic scene understanding requires learning representations of the components of the scene including objects, environments, actions and events. Complex activity recognition from images and videos…
(more)
▼ Dynamic scene understanding requires learning representations of the components of the scene including objects, environments, actions and events. Complex activity
recognition from images and videos requires annotating large datasets with action labels which is a tedious and expensive task. Thus, there is a need to design a mid-level or intermediate feature representation which does not require millions of labels, yet is able to generalize to semantic-level
recognition of activities in visual data. This thesis makes three contributions in this regard. First, we propose an event concept-based intermediate representation which learns concepts via the Web and uses this representation to identify events even with a single labeled example. To demonstrate the strength of the proposed approaches, we contribute two diverse social event datasets to the community. We then present a use case of event concepts as a mid-level representation that generalizes to sentiment
recognition in diverse social event images. Second, we propose to train Generative Adversarial Networks (GANs) with video frames (which does not require labels), use the trained discriminator from GANs as an intermediate representation and finetune it on a smaller labeled video activity dataset to recognize actions in videos. This unsupervised pre-training step avoids any manual feature engineering, video frame encoding or searching for the best video frame sampling technique. Our third contribution is a self-supervised learning approach on videos that exploits both spatial and temporal coherency to learn feature representations on video data without any supervision. We demonstrate the transfer learning capability of this model on smaller labeled datasets. We present comprehensive experimental analysis on the self-supervised
model to provide insights into the unsupervised pretraining paradigm and how it can help with activity
recognition on target datasets which the model has never seen during training.
Advisors/Committee Members: Essa, Irfan (advisor), Hays, James (committee member), De Choudhury, Munmun (committee member), Kira, Zsolt (committee member), Parikh, Devi (committee member), Sun, Chen (committee member).
Subjects/Keywords: Activity recognition; Self-supervised learning; Event recognition
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APA (6th Edition):
Ahsan, U. (2019). Leveraging mid-level representations for complex activity recognition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61199
Chicago Manual of Style (16th Edition):
Ahsan, Unaiza. “Leveraging mid-level representations for complex activity recognition.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 01, 2021.
http://hdl.handle.net/1853/61199.
MLA Handbook (7th Edition):
Ahsan, Unaiza. “Leveraging mid-level representations for complex activity recognition.” 2019. Web. 01 Mar 2021.
Vancouver:
Ahsan U. Leveraging mid-level representations for complex activity recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1853/61199.
Council of Science Editors:
Ahsan U. Leveraging mid-level representations for complex activity recognition. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61199
North Carolina State University
19.
Miao, Shun.
3D face recognition from range images.
Degree: MS, Electrical Engineering, 2010, North Carolina State University
URL: http://www.lib.ncsu.edu/resolver/1840.16/6295
► In this thesis, we explore the statistical and geometrical behavior of uncontrolled parameters of human face, including both rigid transform caused by head pose and…
(more)
▼ In this thesis, we explore the statistical and geometrical behavior of uncontrolled parameters of human face, including both rigid transform caused by head pose and non-rigid transform caused by facial expression. We focus on developing 3D facial
recognition schemes that can be robust for these uncontrolled parameters.
This thesis presents a novel 3D face
recognition method by means of the evolution of iso-geodesic distance curves. Specifically, the proposed method compares two neighboring iso-geodesic distance curves, and formalizes the evolution between them as a one-dimensional function, named evolution angle function, which is Euclidean invariant. The novelty of this paper consists in formalizing 3D face by an evolution angle functions, and in computing the distance between two faces by that of two functions. Experiments on Face
Recognition Grand Challenge (FRGC) ver2.0 shows that our approach works very well on neutral faces. By introducing a weight function, we also show a promising result on non-neutral face database.
A 3D surface segmentation scheme is developed to detect the partial similarity between facial images. The proposed algorithm is based on iterative closest point (ICP) algorithm, which uses mean square distance as the cost function and is not able to detect partial similarities. The presented thesis make an improvement of ICP algorithm by iteratively removing points contributing largest error, and the remaining area of surface can be shown to be the partial similarity between two surface
Advisors/Committee Members: Griff Bilbro, Committee Member (advisor), Wesley Snyder, Committee Member (advisor), Hamid Krim, Committee Chair (advisor).
Subjects/Keywords: geodesic; segmentation; face recognition; pattern recognition
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APA (6th Edition):
Miao, S. (2010). 3D face recognition from range images. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/6295
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Miao, Shun. “3D face recognition from range images.” 2010. Thesis, North Carolina State University. Accessed March 01, 2021.
http://www.lib.ncsu.edu/resolver/1840.16/6295.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Miao, Shun. “3D face recognition from range images.” 2010. Web. 01 Mar 2021.
Vancouver:
Miao S. 3D face recognition from range images. [Internet] [Thesis]. North Carolina State University; 2010. [cited 2021 Mar 01].
Available from: http://www.lib.ncsu.edu/resolver/1840.16/6295.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Miao S. 3D face recognition from range images. [Thesis]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/6295
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Wollongong
20.
Stephens-Fripp, Benjamin.
Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait.
Degree: M. Phil., 2016, University of Wollongong
URL: ;
https://ro.uow.edu.au/theses/4923
► There has been a growing interest in machine-based recognition of emotions from body gait and posture, and its combination with other modalities. Applications such…
(more)
▼ There has been a growing interest in machine-based recognition of emotions from body gait and posture, and its combination with other modalities. Applications such as human computer interaction, social robotics, and security have been the driving force behind such trend. The majority of the previous work in automatic affect perception deploys only either local features or global features. Whilst a combination of both types of features are deployed in applications such as object recognition and facial recognition, the literature does not reveal any study in affect recognition from body language using combined global and local features. In this thesis, such gap is addressed by examining how deploying a combination of local and global features can improve the recognition rate in automatic classification of emotions using gait and posture.
The motion data used in the study comprising kinematic parameters associated with the gait and posture of a number of actors expressing a set of emotions, were recorded electronically using an inertia motion capture system. A combination of local and global features proposed by Kapur et al. and Zacharatos et al., respectively, were used in the classification process using WEKA classification system. Additional global features of shape flow and shaping, horizontal and vertical symmetry were added to the combination feature set to increase the performance of the classifier.
The results obtained in the analysis demonstrate that deploying a combination of local and global features leads to a more robust and reliable method for automatic affect recognition from body language as it improves accuracy across a range of classifiers. This research also demonstrates that the inclusion of the additional features, which represent additional Laban Movement Analysis components, increases the maximum classification accuracy from 88.5% to 92.3%.
Achieving better automatic affect recognition rates can lead to increased application of the approach, improved usefulness and reliability of such systems.
Subjects/Keywords: affect recognition; emotion recognition; body posture; gait
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to Zotero / EndNote / Reference
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APA (6th Edition):
Stephens-Fripp, B. (2016). Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait. (Masters Thesis). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/4923
Chicago Manual of Style (16th Edition):
Stephens-Fripp, Benjamin. “Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait.” 2016. Masters Thesis, University of Wollongong. Accessed March 01, 2021.
; https://ro.uow.edu.au/theses/4923.
MLA Handbook (7th Edition):
Stephens-Fripp, Benjamin. “Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait.” 2016. Web. 01 Mar 2021.
Vancouver:
Stephens-Fripp B. Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait. [Internet] [Masters thesis]. University of Wollongong; 2016. [cited 2021 Mar 01].
Available from: ; https://ro.uow.edu.au/theses/4923.
Council of Science Editors:
Stephens-Fripp B. Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait. [Masters Thesis]. University of Wollongong; 2016. Available from: ; https://ro.uow.edu.au/theses/4923
University of Illinois – Chicago
21.
Wu, Qingquan.
Recognition of Human Motion and Form.
Degree: 2013, University of Illinois – Chicago
URL: http://hdl.handle.net/10027/9770
► In this report, we first compare the novel RISq method to HMM. Both methods are used for the recognition of general vector sequences. Our comparison…
(more)
▼ In this report, we first compare the novel RISq method to HMM. Both methods are used for the
recognition of general vector sequences. Our comparison shows that RISq performs better than HMM in many aspects. The training of RISq requires only one example from each class and the training is much simpler than training HMM models. Also a few sparse samples from a test sequence are usually sufficient for RISq to achieve robust
recognition while HMM needs the entire sequence. This makes RISq essentially much less sensitive to missing vectors. Lastly, our experiments demonstrate that RISq outperforms HMM in term of handling large sets of models or with many vectors dimensions. RISq is also better in noise robustness, computation time, selectivity ratio, etc.
For human gesture
recognition, we develop a novel system to recognize different hand gestures. We use an Inertial Measurement Unit equipped with accelerometers and gyroscopes to sense the motion of the operator's hand. The IMU is calibrated with the help of Nonlinear Data-Fitting method. Gesture trajectories are reconstructed from inertial sensor measurements using the Inertial Navigation System theory. We develop a novel method named Zero Velocity Linear Compensation (ZVLC) to improve trajectory reconstruction accuracy. Experimental results show that ZVLC provides more accurate reconstruction than the widely used method of Zero Velocity Compensation. At the
recognition stage, the novel RISq method is employed to recognize the reconstructed gesture trajectories and achieves a
recognition rate of 92%.
In the third part of this thesis, we describe a novel method for 3D head reconstruction and view-invariant
recognition, which is based on Shape From Shading combined with Hybrid Principal Component Analysis (HPCA). Our novel HPCA algorithm provides good initial estimates of 3D range mapping for the SFS optimization and yields much improved 3D reconstruction. Additional contribution of our chapter is the successful handling of variable and unknown surface albedo in SFS. Experimental results show that our HPCA based SFS method provides accurate 3D head reconstructions and high
recognition rates. Our work could have many practical applications such as person
recognition from side views when only frontal views are available for modeling.
Advisors/Committee Members: Ben-Arie, Jezekiel (advisor), Graupe, Daniel (committee member), Stroscio, Michael (committee member), Zefran, Milos (committee member), Sloan, Robert (committee member).
Subjects/Keywords: face recognition; gesture recognition; face reconstruction; RISq
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wu, Q. (2013). Recognition of Human Motion and Form. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9770
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wu, Qingquan. “Recognition of Human Motion and Form.” 2013. Thesis, University of Illinois – Chicago. Accessed March 01, 2021.
http://hdl.handle.net/10027/9770.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wu, Qingquan. “Recognition of Human Motion and Form.” 2013. Web. 01 Mar 2021.
Vancouver:
Wu Q. Recognition of Human Motion and Form. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10027/9770.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wu Q. Recognition of Human Motion and Form. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/9770
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Tech
22.
Saha, Deba Pratim.
Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.
Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/78044
► Finger gesture recognition using glove-like interfaces are very accurate for sensing individual finger positions by employing a gamut of sensors. However, for the same reason,…
(more)
▼ Finger gesture
recognition using glove-like interfaces are very accurate for sensing individual finger positions by employing a gamut of sensors. However, for the same reason, they are also very costly, cumbersome and unaesthetic for use in artistic scenarios such as gesture based music composition platforms like Virginia Tech's Linux Laptop Orchestra. Wearable computing has shown promising results in increasing portability as well as enhancing proprioceptive perception of the wearers' body. In this thesis, we present the proof-of-concept for designing a novel muscle-machine interface for interpreting human thumb motion as a 2-dimensional joystick employing mechanomyographic signals. Infrared camera based systems such as Microsoft Digits and ultrasound sensor based systems such as Chirp Microsystems' Chirp gesture recognizers are elegant solutions, but have line-of-sight sensing limitations. Here, we present a low-cost and wearable joystick designed as a wristband which captures muscle sounds, also called mechanomyographic signals. The interface learns from user's thumb gestures and finally interprets these motions as one of the four kinds of thumb movements. We obtained an overall classification accuracy of 81.5% for all motions and 90.5% on a modified metric. Results obtained from the user study indicate that mechanomyography based wearable thumb-joystick is a feasible design idea worthy of further study.
Advisors/Committee Members: Martin, Thomas L. (committeechair), Knapp, R. Benjamin (committee member), Bukvic, Ivica Ico (committeecochair).
Subjects/Keywords: Gesture Recognition; Wearable Joystick; Mechanomyography; Pattern Recognition
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Saha, D. P. (2013). Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78044
Chicago Manual of Style (16th Edition):
Saha, Deba Pratim. “Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.” 2013. Masters Thesis, Virginia Tech. Accessed March 01, 2021.
http://hdl.handle.net/10919/78044.
MLA Handbook (7th Edition):
Saha, Deba Pratim. “Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.” 2013. Web. 01 Mar 2021.
Vancouver:
Saha DP. Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10919/78044.
Council of Science Editors:
Saha DP. Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/78044
University of Cape Town
23.
Milborrow, Stephen.
Multiview active shape models with SIFT descriptors.
Degree: Image, Electrical Engineering, 2016, University of Cape Town
URL: http://hdl.handle.net/11427/22867
► This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form…
(more)
▼ This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form of SIFT descriptors [68]. Multivariate Adaptive Regression Splines (MARS [40]) are used to efficiently match descriptors around landmarks. This modified ASM is fast and performs well on frontal faces. The model is then extended to also handle non-frontal faces. This is done by first estimating the face's pose, rotating the face upright, then applying one of three ASM submodels specialized for frontal, left, or right three-quarter views. The multiview model is shown to be effective on a variety of datasets.
Advisors/Committee Members: Nicolls, Fred C (advisor).
Subjects/Keywords: Electrical Engineering; image recognition; facial recognition
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APA ·
Chicago ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Milborrow, S. (2016). Multiview active shape models with SIFT descriptors. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/22867
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Milborrow, Stephen. “Multiview active shape models with SIFT descriptors.” 2016. Thesis, University of Cape Town. Accessed March 01, 2021.
http://hdl.handle.net/11427/22867.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Milborrow, Stephen. “Multiview active shape models with SIFT descriptors.” 2016. Web. 01 Mar 2021.
Vancouver:
Milborrow S. Multiview active shape models with SIFT descriptors. [Internet] [Thesis]. University of Cape Town; 2016. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/11427/22867.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Milborrow S. Multiview active shape models with SIFT descriptors. [Thesis]. University of Cape Town; 2016. Available from: http://hdl.handle.net/11427/22867
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Edinburgh
24.
Peirsman, Yves.
Knowledge-lean approaches to metonymy.
Degree: 2005, University of Edinburgh
URL: http://hdl.handle.net/1842/2083
► Current approaches to metonymy recognition are mainly supervised, relying heavily on the manual annotation of training and test data. This forms a considerable hindrance to…
(more)
▼ Current approaches to metonymy
recognition are mainly supervised, relying heavily on
the manual annotation of training and test data. This forms a considerable hindrance
to their application on a wider scale. This dissertation therefore aims to relieve the
knowledge acquisition bottleneck with respect to metonymy
recognition by examining
knowledge-lean approaches that reduce this need for human effort.
This investigation involves the study of three algorithms that constitute an entire spectrum
of machine learning approaches—unsupervised, supervised and semi-supervised
ones. Chapter 2 will discuss an unsupervised approach to metonymy
recognition, and
will show that promising results can be reached when the data are automatically annotated
with grammatical information. Although the robustness of these systems is
limited, they can serve as a pre-processing step for the selection of useful training data,
thereby reducing the workload for human annotators.
Chapter 3 will investigate memory-based learning, a “lazy” supervised algorithm. This
algorithm, which relies on an extremely simple learning stage, is able to replicate the
results of more complex systems. Yet, it will also become clear that the performance
of this algorithm, like that of others in the literature, depends heavily on grammatical
annotation.
Finally, chapter 4 will present a semi-supervised algorithm that produces very promising
results with only ten labelled training instances. In addition, it will be shown that
less than half of the training data from chapter 3 can lead to the same performance as
the entire set. Semantic information in particular will prove very useful in this respect.
In short, this dissertation presents experimental results which indicate that the knowledge
acquisition bottleneck in metonymy
recognition can be relieved with unsupervised
and semi-supervised methods. These approaches may make the extension of
current algorithms to a wide-scale metonymy resolution system a much more feasible
task.
Advisors/Committee Members: Lapata, Mirella.
Subjects/Keywords: linguistics; metonymy recognition
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Peirsman, Y. (2005). Knowledge-lean approaches to metonymy. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2083
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Peirsman, Yves. “Knowledge-lean approaches to metonymy.” 2005. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/2083.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Peirsman, Yves. “Knowledge-lean approaches to metonymy.” 2005. Web. 01 Mar 2021.
Vancouver:
Peirsman Y. Knowledge-lean approaches to metonymy. [Internet] [Thesis]. University of Edinburgh; 2005. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/2083.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Peirsman Y. Knowledge-lean approaches to metonymy. [Thesis]. University of Edinburgh; 2005. Available from: http://hdl.handle.net/1842/2083
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Edinburgh
25.
Fagan, Stephanie.
The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA.
Degree: 2009, University of Edinburgh
URL: http://hdl.handle.net/1842/3609
► Dual process theories account for age-related changes in memory by proposing that old age is associated with deficits in recollection together with invariance in familiarity…
(more)
▼ Dual process theories account for age-related changes in memory by proposing that old age is associated with deficits in recollection together with invariance in familiarity (DPHMA). The authors evaluated the DPHMA by examining recollection and familiarity estimates in young and older adults. The results of this study do not support either premise of the DPHMA: older adults were impaired in the familiarity component of
recognition memory, while performing similarly to the younger group in terms of recollection. A second goal within the study was to investigate correlations between recollection and familiarity estimates and scores on tests thought to rely on frontal and medial temporal lobe regions. The only correlation that arose was between recollection and a medial temporal lobe measure in the older group. Limitations of the literature are considered and it is suggested that future research should consider individual effects of aging on older adult brain function.
Advisors/Committee Members: MacPherson, Sarah E..
Subjects/Keywords: recognition memory; aging
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APA (6th Edition):
Fagan, S. (2009). The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3609
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Fagan, Stephanie. “The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA.” 2009. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/3609.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Fagan, Stephanie. “The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA.” 2009. Web. 01 Mar 2021.
Vancouver:
Fagan S. The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/3609.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Fagan S. The Effects of Healthy Adult Aging on Recognition Memory and Performance on Tests That Rely on Frontal and Medial Temporal Lobe Function: Evidence Contradicting The DPHMA. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3609
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Edinburgh
26.
Maclean, Katharine.
Age effects on the implicit recognition of facial expressions.
Degree: 2010, University of Edinburgh
URL: http://hdl.handle.net/1842/4973
► Backgrounds: A large amount of research has been put into the investigation of the discernable decline in older adults’ abilities to explicitly label the six…
(more)
▼ Backgrounds: A large amount of research has been put into the investigation of the
discernable decline in older adults’ abilities to explicitly label the six basic emotion
facial expressions. However, very little consideration has been given to the reasons
behind the apparent lack of behavioural problems that this decline induces. One
possible explanation is a spared implicit pathway that allows for unaffected
expression
recognition in adults of all ages.
Aims: The study reported herein aimed firstly to replicate the previous findings that
older adults are poorer at labelling expressions than younger adults, and secondly to
discern whether older adults are comparable to younger adults when it comes to the
implicit
recognition of facial expressions.
Methods & Procedures: The performance of 20 younger adults (M = 21.3 years-old)
was compared with the performance of 20 older adults (M = 64.9 years-old) first on
an implicit expression matching task and then on a simple facial expression labelling
task.
Outcomes & Results: In terms of labelling, the older group performed at a lesser
standard than the younger group. Specifically older adults were significantly less
accurate at identifying sadness. In terms of the implicit matching task the older
participants were found to be comparable to the younger participants at matching
anger, disgust and sadness. This pattern has since been replicated.
Conclusions: Due to this established pattern of results it can be deduced that an
implicit pathway does exist which spares older adults’
recognition of certain
emotions. However this finding could be extended by further research.
Advisors/Committee Members: MacPherson, Sarah.
Subjects/Keywords: Aging; Facial Recognition
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APA (6th Edition):
Maclean, K. (2010). Age effects on the implicit recognition of facial expressions. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4973
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Maclean, Katharine. “Age effects on the implicit recognition of facial expressions.” 2010. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/4973.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Maclean, Katharine. “Age effects on the implicit recognition of facial expressions.” 2010. Web. 01 Mar 2021.
Vancouver:
Maclean K. Age effects on the implicit recognition of facial expressions. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/4973.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Maclean K. Age effects on the implicit recognition of facial expressions. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4973
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Edinburgh
27.
Doll, Tom.
The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging.
Degree: 2013, University of Edinburgh
URL: http://hdl.handle.net/1842/8579
► The majority of previous research into the relationship between emotion recognition and healthy adult aging finds an age-related decline in facial emotion recognition accuracy in…
(more)
▼ The majority of previous research into the relationship between emotion
recognition and healthy adult aging finds an age-related decline in facial emotion
recognition accuracy in individuals over 60. However, this apparent age-related decline in emotion
recognition accuracy is at odds with research in other areas. One possible explanation for this inconsistency is that experimental tasks of the majority of studies into emotion
recognition and healthy adult aging lack ecological validity and thus their findings are not applicable to real life. The current study, like only a few before, aims to explore the relationship between facial emotion
recognition and healthy adult aging with the use of more ecologically valid tasks. Emotion
recognition accuracy was assessed in 21 younger (19 – 25 years) and 19 older adults (60 – 87 years) on 3 tasks of lower ecologically validity involving the
recognition of a uni-modal emotional stimulus (e.g. faces only, voices only, or context only), and 3 tasks of higher ecologically validity involving facial emotion
recognition while multiple congruent stimuli were presented (e.g. faces x voices, faces x context, & faces x voices x context). The study found that older participants were worse at recognising emotion in 2 out of 3 lower ecologically valid tasks (e.g. faces and voices only). In contrast, no age differences were found in the 3 higher ecologically valid tasks and accuracy in both age groups increased. Facial emotion
recognition accuracy was highest on the faces x voices x context task with no significant difference between the faces x voices and faces x context tasks. The findings are discussed in relation to previous research into emotion
recognition and healthy adult aging, other psychological areas, and the real world implications of the current findings.
Advisors/Committee Members: MacPherson, Sarah.
Subjects/Keywords: Emotion Recognition; Aging
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Doll, T. (2013). The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8579
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Doll, Tom. “The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging.” 2013. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/8579.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Doll, Tom. “The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging.” 2013. Web. 01 Mar 2021.
Vancouver:
Doll T. The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/8579.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Doll T. The Effect Auditory and Contextual Emotional Cues on the Ability to Recognise Facial Expressions of Emotion in Healthy Adult Aging. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8579
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
28.
Khanna Preeti.
MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;.
Degree: 2013, INFLIBNET
URL: http://shodhganga.inflibnet.ac.in/handle/10603/7529
► Emotions are fundamental to human lives and play an important role in newlinecommunication between people. This interactional phenomenon has been extensively newlinestudied by several research…
(more)
▼ Emotions are fundamental to human lives and play an
important role in newlinecommunication between people. This
interactional phenomenon has been extensively newlinestudied by
several research groups worldwide. Enabling computers to read
emotions newlinehas been motivated by the potentially wide range of
applications which involve newlinehuman-computer interfaces. Such
an affective computer system is an active area of newlineresearch,
which include recognizing emotions as well as generating
appropriate newlineresponses. This dissertation addresses the
emerging area of research on emotions and newlinehuman computer
interaction. newlineWe present approaches for recognition of
emotions by considering static image of newlineface, speech and
keyboard stroke pattern modalities. Each of these modalities has
newlinebeen investigated separately as unimodal systems.
Recognizing the inadequacy of newlineunimodal approaches, the study
also explores multimodal emotion recognition newlineframework by
combining these modalities. The work involves identifying and
newlineextracting relevant features from each of these modalities
and using various newlineclassification algorithms for classifying
them into emotions. newlineThe features extracted from the face
include the position of eyes, eyebrows, mouth, newlineand nose and
various distances involving them. Features of interest in speech
are newlinepitch, formant frequencies, parameters related to voiced
and unvoiced region and newlineMFCC. The features extracted from
keyboard interaction are typing speed, number of newlinebackspaces
used, number of errors made, etc. Each of these features was
analyzed newlineindividually to see its variation across emotions.
We have used classification newlinealgorithms such as neural
networks, bayesian classification etc. to classify the
newlineemotions. Various studies involving different subsets of
features and different newlineclassification algorithms were
carried out to identify relevant features and newlineclassification
framework. The performances were also evaluated for gender
newlinedependency across emotions for different subset of features
and classification newlinealgorithms. newlineThe
Advisors/Committee Members: Dr. Sasikumar M..
Subjects/Keywords: Computer; EMOTION RECOGNITION
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Preeti, K. (2013). MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/7529
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Preeti, Khanna. “MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;.” 2013. Thesis, INFLIBNET. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/7529.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Preeti, Khanna. “MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;.” 2013. Web. 01 Mar 2021.
Vancouver:
Preeti K. MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;. [Internet] [Thesis]. INFLIBNET; 2013. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7529.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Preeti K. MULTIMODAL EMOTION RECOGNITION FOR ENHANCING HUMAN
COMPUTER INTERACTION;. [Thesis]. INFLIBNET; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7529
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
29.
Bhat, Aqib Niaz.
Sketchography - Automatic Grading of Map Sketches for Geography Education.
Degree: MS, Computer Science, 2017, Texas A&M University
URL: http://hdl.handle.net/1969.1/161656
► Geography is a vital classroom subject that teaches students about the physical features of the planet we live on. Despite the importance of geographic knowledge,…
(more)
▼ Geography is a vital classroom
subject that teaches students about the physical features of the planet we live on. Despite the importance of geographic knowledge, almost 75% of 8th graders scored below proficient in geography on the 2014 National Assessment of Educational Progress. Sketchography is a pen-based intelligent tutoring system that provides real-time feedback to students learning the locations, directions, and topography of rivers around the world. Sketchography uses sketch
recognition and artificial intelligence to understand the user’s sketched intentions. As sketches are inherently messy, and even the most expert geographer will draw only a close approximation of the river’s flow, data has been gathered from both novice and expert sketchers. This data, in combination with professors’ grading rubrics and statistically driving AI-algorithms, provide real-time automatic grading that is similar to a human grader’s score. Results show the system to be 94.64% accurate compared to human grading.
Advisors/Committee Members: Hammond, Tracy (advisor), Goldberg, Daniel (committee member), Klein, Andrew (committee member), Huang, Jeff (committee member).
Subjects/Keywords: Sketch Recognition; Geography
Record Details
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APA ·
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MLA ·
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APA (6th Edition):
Bhat, A. N. (2017). Sketchography - Automatic Grading of Map Sketches for Geography Education. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161656
Chicago Manual of Style (16th Edition):
Bhat, Aqib Niaz. “Sketchography - Automatic Grading of Map Sketches for Geography Education.” 2017. Masters Thesis, Texas A&M University. Accessed March 01, 2021.
http://hdl.handle.net/1969.1/161656.
MLA Handbook (7th Edition):
Bhat, Aqib Niaz. “Sketchography - Automatic Grading of Map Sketches for Geography Education.” 2017. Web. 01 Mar 2021.
Vancouver:
Bhat AN. Sketchography - Automatic Grading of Map Sketches for Geography Education. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1969.1/161656.
Council of Science Editors:
Bhat AN. Sketchography - Automatic Grading of Map Sketches for Geography Education. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161656
Queens University
30.
Kalmet, Natalie.
Lineup Size and Number of Cues: When Bigger Isn’t Better
.
Degree: Psychology, 2016, Queens University
URL: http://hdl.handle.net/1974/15056
► Larger lineups could protect innocent suspects from being misidentified; however, they can also decrease correct identifications. Bertrand (2006) investigated whether the decrease in correct identifications…
(more)
▼ Larger lineups could protect innocent suspects from being misidentified; however, they can also decrease correct identifications. Bertrand (2006) investigated whether the decrease in correct identifications could be prevented by adding more cues, in the form of additional views of lineup members’ faces, to the lineup. Adding these cues was successful to an extent. The current series of studies attempted to replicate Bertrand’s (2006) findings while addressing some methodological issues—namely, the inconsistency in image size as lineup size increased. First, I investigated whether image size could affect face recognition (Chapter 2) and found it could, but that it also affected previously-seen (“old”) versus previously-unseen (“new”) faces differently. Specifically, smaller image sizes at exposure lowered accuracy for old faces, while these same image sizes at recognition lowered accuracy for new faces. Although these results indicate that target recognition would be unaffected by image size at recognition (i.e., during a lineup), lineups are also comprised of previously-unseen faces, in the form of fillers and innocent suspects. Because image size could affect lineup decisions, as it could become more difficult to realize fillers are previously-unseen, I decided to replicate Bertrand (2006) while keeping image size constant in Chapters 3 (simultaneous lineups) and 4 (simultaneous-presentation, sequential decisions). In both Chapters, the integral findings were the same: correct identification rates decreased as lineup size increased from 6- to 24-person lineups, but adding cues had no effect. The inability to replicate Bertrand (2006) could mean that the original finding was due to chance, but alternate explanations also exist, such as the overall size of the array, the degree to which additional cues overlap, and the length of the target exposure. These alternate explanations, along with directions for future research, are discussed in the following Chapters.
Subjects/Keywords: Face Recognition
;
Lineups
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APA ·
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Manager
APA (6th Edition):
Kalmet, N. (2016). Lineup Size and Number of Cues: When Bigger Isn’t Better
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/15056
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kalmet, Natalie. “Lineup Size and Number of Cues: When Bigger Isn’t Better
.” 2016. Thesis, Queens University. Accessed March 01, 2021.
http://hdl.handle.net/1974/15056.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kalmet, Natalie. “Lineup Size and Number of Cues: When Bigger Isn’t Better
.” 2016. Web. 01 Mar 2021.
Vancouver:
Kalmet N. Lineup Size and Number of Cues: When Bigger Isn’t Better
. [Internet] [Thesis]. Queens University; 2016. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1974/15056.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kalmet N. Lineup Size and Number of Cues: When Bigger Isn’t Better
. [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/15056
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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Open Access Theses and Dissertations
