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You searched for subject:(Pattern recognition systems Statistical methods). Showing records 1 – 30 of 94657 total matches.

[1] [2] [3] [4] [5] … [3156]

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Columbia University

1. Yu, Gary. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.

Degree: 2014, Columbia University

 Finite mixture modeling is a useful statistical technique for clustering individuals based on patterns of responses. The fundamental idea of the mixture modeling approach is… (more)

Subjects/Keywords: Biometry; Public health – Research – Methodology; Cluster analysis; Pattern recognition systems – Statistical methods; Discriminant analysis; Machine learning – Statistical methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, G. (2014). Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8F197VX

Chicago Manual of Style (16th Edition):

Yu, Gary. “Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.” 2014. Doctoral Dissertation, Columbia University. Accessed October 21, 2019. https://doi.org/10.7916/D8F197VX.

MLA Handbook (7th Edition):

Yu, Gary. “Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.” 2014. Web. 21 Oct 2019.

Vancouver:

Yu G. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Oct 21]. Available from: https://doi.org/10.7916/D8F197VX.

Council of Science Editors:

Yu G. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8F197VX


University of Texas – Austin

2. Morgan, Joseph Troy. Adaptive hierarchical classification with limited training data.

Degree: PhD, Mechanical Engineering., 2002, University of Texas – Austin

 This research focused on the development of a hierarchical approach for classification that is robust with respect to training data that are limited both in… (more)

Subjects/Keywords: Pattern recognition systems; Statistical decision

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APA (6th Edition):

Morgan, J. T. (2002). Adaptive hierarchical classification with limited training data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/802

Chicago Manual of Style (16th Edition):

Morgan, Joseph Troy. “Adaptive hierarchical classification with limited training data.” 2002. Doctoral Dissertation, University of Texas – Austin. Accessed October 21, 2019. http://hdl.handle.net/2152/802.

MLA Handbook (7th Edition):

Morgan, Joseph Troy. “Adaptive hierarchical classification with limited training data.” 2002. Web. 21 Oct 2019.

Vancouver:

Morgan JT. Adaptive hierarchical classification with limited training data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2002. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2152/802.

Council of Science Editors:

Morgan JT. Adaptive hierarchical classification with limited training data. [Doctoral Dissertation]. University of Texas – Austin; 2002. Available from: http://hdl.handle.net/2152/802


University of Hong Kong

3. Ni, Zhibo. Artificial training samples for the improvement of pattern recognitionsystems.

Degree: PhD, 2012, University of Hong Kong

Pattern recognition is the assignment of some sort of label to a given input value or instance, according to some specific learning algorithm. The recognition(more)

Subjects/Keywords: Pattern recognition systems.

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APA (6th Edition):

Ni, Z. (2012). Artificial training samples for the improvement of pattern recognitionsystems. (Doctoral Dissertation). University of Hong Kong. Retrieved from Ni, Z. [倪志博]. (2012). Artificial training samples for the improvement of pattern recognition systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784964 ; http://dx.doi.org/10.5353/th_b4784964 ; http://hdl.handle.net/10722/174522

Chicago Manual of Style (16th Edition):

Ni, Zhibo. “Artificial training samples for the improvement of pattern recognitionsystems.” 2012. Doctoral Dissertation, University of Hong Kong. Accessed October 21, 2019. Ni, Z. [倪志博]. (2012). Artificial training samples for the improvement of pattern recognition systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784964 ; http://dx.doi.org/10.5353/th_b4784964 ; http://hdl.handle.net/10722/174522.

MLA Handbook (7th Edition):

Ni, Zhibo. “Artificial training samples for the improvement of pattern recognitionsystems.” 2012. Web. 21 Oct 2019.

Vancouver:

Ni Z. Artificial training samples for the improvement of pattern recognitionsystems. [Internet] [Doctoral dissertation]. University of Hong Kong; 2012. [cited 2019 Oct 21]. Available from: Ni, Z. [倪志博]. (2012). Artificial training samples for the improvement of pattern recognition systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784964 ; http://dx.doi.org/10.5353/th_b4784964 ; http://hdl.handle.net/10722/174522.

Council of Science Editors:

Ni Z. Artificial training samples for the improvement of pattern recognitionsystems. [Doctoral Dissertation]. University of Hong Kong; 2012. Available from: Ni, Z. [倪志博]. (2012). Artificial training samples for the improvement of pattern recognition systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784964 ; http://dx.doi.org/10.5353/th_b4784964 ; http://hdl.handle.net/10722/174522


Hong Kong University of Science and Technology

4. Xiao, Xiangye. Efficient co-location pattern discovery.

Degree: 2009, Hong Kong University of Science and Technology

 Co-location pattern discovery is to find classes of objects whose associated spatial locations are frequently in proximity. For example, map search queries, which contain keywords… (more)

Subjects/Keywords: Pattern recognition systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xiao, X. (2009). Efficient co-location pattern discovery. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html

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, Xiangye. “Efficient co-location pattern discovery.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 21, 2019. https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xiao, Xiangye. “Efficient co-location pattern discovery.” 2009. Web. 21 Oct 2019.

Vancouver:

Xiao X. Efficient co-location pattern discovery. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2019 Oct 21]. Available from: https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xiao X. Efficient co-location pattern discovery. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Mexico

5. Maestas, Dominic Ron. Human inspired pattern recognition via local invariant features.

Degree: Mechanical Engineering, 2013, University of New Mexico

 Vision is increasingly becoming a vital element in the manufacturing industry. As complex as it already is, vision is becoming even more difficult to implement… (more)

Subjects/Keywords: Pattern recognition systems; Neural networks (Computer science); Taguchi methods (Quality control)

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APA (6th Edition):

Maestas, D. R. (2013). Human inspired pattern recognition via local invariant features. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/22053

Chicago Manual of Style (16th Edition):

Maestas, Dominic Ron. “Human inspired pattern recognition via local invariant features.” 2013. Doctoral Dissertation, University of New Mexico. Accessed October 21, 2019. http://hdl.handle.net/1928/22053.

MLA Handbook (7th Edition):

Maestas, Dominic Ron. “Human inspired pattern recognition via local invariant features.” 2013. Web. 21 Oct 2019.

Vancouver:

Maestas DR. Human inspired pattern recognition via local invariant features. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1928/22053.

Council of Science Editors:

Maestas DR. Human inspired pattern recognition via local invariant features. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/22053


University of Johannesburg

6. Minnaar, Ursula. SWORM : a Semantic Web Object Recognition Model.

Degree: 2011, University of Johannesburg

D.Phil.

The Semantic Web is an extension of the current Web. The goal of the Semantic Web is to give information “well-defined meaning, enabling computers… (more)

Subjects/Keywords: Semantic Web; Object-oriented methods (Computer science); Pattern recognition systems; SWORM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Minnaar, U. (2011). SWORM : a Semantic Web Object Recognition Model. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/3886

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):

Minnaar, Ursula. “SWORM : a Semantic Web Object Recognition Model.” 2011. Thesis, University of Johannesburg. Accessed October 21, 2019. http://hdl.handle.net/10210/3886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Minnaar, Ursula. “SWORM : a Semantic Web Object Recognition Model.” 2011. Web. 21 Oct 2019.

Vancouver:

Minnaar U. SWORM : a Semantic Web Object Recognition Model. [Internet] [Thesis]. University of Johannesburg; 2011. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10210/3886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Minnaar U. SWORM : a Semantic Web Object Recognition Model. [Thesis]. University of Johannesburg; 2011. Available from: http://hdl.handle.net/10210/3886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

7. Janmohammadi, Siamak. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.

Degree: 2015, University of North Texas

 We have a huge amount of video data from extensively available surveillance cameras and increasingly growing technology to record the motion of a moving object… (more)

Subjects/Keywords: action recognition; machine learning; trajectory analysis; supervised classification methods; activity recognition; Human activity recognition.; Pattern recognition systems.; Machine learning.; Electronic surveillance.

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APA (6th Edition):

Janmohammadi, S. (2015). Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801901/

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):

Janmohammadi, Siamak. “Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.” 2015. Thesis, University of North Texas. Accessed October 21, 2019. https://digital.library.unt.edu/ark:/67531/metadc801901/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Janmohammadi, Siamak. “Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.” 2015. Web. 21 Oct 2019.

Vancouver:

Janmohammadi S. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 21]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801901/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janmohammadi S. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801901/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Drexel University

8. Ford, Gabriel. Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition.

Degree: 2018, Drexel University

To accommodate an increasing demand for scarce spectrum resources, dynamic spectrum access (DSA) opens portions of the spectrum currently dedicated to licensed primary users, for… (more)

Subjects/Keywords: Electrical engineering; Nonparametric signal detection; Bayesian statistical decision theory; Machine learning; Pattern recognition systems

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APA (6th Edition):

Ford, G. (2018). Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition. (Thesis). Drexel University. Retrieved from https://idea.library.drexel.edu/islandora/object/idea%3A8177

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):

Ford, Gabriel. “Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition.” 2018. Thesis, Drexel University. Accessed October 21, 2019. https://idea.library.drexel.edu/islandora/object/idea%3A8177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ford, Gabriel. “Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition.” 2018. Web. 21 Oct 2019.

Vancouver:

Ford G. Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition. [Internet] [Thesis]. Drexel University; 2018. [cited 2019 Oct 21]. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A8177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ford G. Spectrum Awareness Using Bayesian Nonparametric Pattern Recognition. [Thesis]. Drexel University; 2018. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A8177

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


IUPUI

9. Ghane, Parisa. Silent speech recognition in EEG-based brain computer interface.

Degree: 2015, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

A Brain Computer Interface (BCI) is a hardware and software system that establishes direct communication between human brain and the… (more)

Subjects/Keywords: Brain Computer Interface; EEG; Support Vector Machine; Multi-class Classification; Speech recognition; Brain-computer interfaces  – Research  – Analysis; Electroencephalography  – Mathematical models; Support vector machines  – Research  – Analysis; Speech processing systems  – Research; Automatic speech recognition  – Research  – Analysis; Pattern recognition systems  – Statistical methods; Multimedia systems  – Research; Neural networks (Computer science)  – Research; Wavelets (Mathematics); Computer algorithms  – Research; User interfaces (Computer systems); Electrodes  – Testing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghane, P. (2015). Silent speech recognition in EEG-based brain computer interface. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/9886 ; http://dx.doi.org/10.7912/C2B01X

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):

Ghane, Parisa. “Silent speech recognition in EEG-based brain computer interface.” 2015. Thesis, IUPUI. Accessed October 21, 2019. http://hdl.handle.net/1805/9886 ; http://dx.doi.org/10.7912/C2B01X.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghane, Parisa. “Silent speech recognition in EEG-based brain computer interface.” 2015. Web. 21 Oct 2019.

Vancouver:

Ghane P. Silent speech recognition in EEG-based brain computer interface. [Internet] [Thesis]. IUPUI; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1805/9886 ; http://dx.doi.org/10.7912/C2B01X.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghane P. Silent speech recognition in EEG-based brain computer interface. [Thesis]. IUPUI; 2015. Available from: http://hdl.handle.net/1805/9886 ; http://dx.doi.org/10.7912/C2B01X

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


IUPUI

10. Ghane, Parisa. Silent speech recognition in EEG-based brain computer interface.

Degree: 2015, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

A Brain Computer Interface (BCI) is a hardware and software system that establishes direct communication between human brain and the… (more)

Subjects/Keywords: Brain Computer Interface; EEG; Support Vector Machine; Multi-class Classification; Speech recognition; Brain-computer interfaces  – Research  – Analysis; Electroencephalography  – Mathematical models; Support vector machines  – Research  – Analysis; Speech processing systems  – Research; Automatic speech recognition  – Research  – Analysis; Pattern recognition systems  – Statistical methods; Multimedia systems  – Research; Neural networks (Computer science)  – Research; Wavelets (Mathematics); Computer algorithms  – Research; User interfaces (Computer systems); Electrodes  – Testing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghane, P. (2015). Silent speech recognition in EEG-based brain computer interface. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/9886

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):

Ghane, Parisa. “Silent speech recognition in EEG-based brain computer interface.” 2015. Thesis, IUPUI. Accessed October 21, 2019. http://hdl.handle.net/1805/9886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghane, Parisa. “Silent speech recognition in EEG-based brain computer interface.” 2015. Web. 21 Oct 2019.

Vancouver:

Ghane P. Silent speech recognition in EEG-based brain computer interface. [Internet] [Thesis]. IUPUI; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1805/9886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghane P. Silent speech recognition in EEG-based brain computer interface. [Thesis]. IUPUI; 2015. Available from: http://hdl.handle.net/1805/9886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

11. Liu, Chuanren. Sequential pattern analysis in dynamic business environments.

Degree: PhD, Management, 2015, Rutgers University

Sequential pattern analysis targets on finding statistically relevant temporal structures where the values are delivered in sequences. This is a fundamental problem in data mining… (more)

Subjects/Keywords: Data mining; Pattern recognition systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, C. (2015). Sequential pattern analysis in dynamic business environments. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47695/

Chicago Manual of Style (16th Edition):

Liu, Chuanren. “Sequential pattern analysis in dynamic business environments.” 2015. Doctoral Dissertation, Rutgers University. Accessed October 21, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/47695/.

MLA Handbook (7th Edition):

Liu, Chuanren. “Sequential pattern analysis in dynamic business environments.” 2015. Web. 21 Oct 2019.

Vancouver:

Liu C. Sequential pattern analysis in dynamic business environments. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Oct 21]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47695/.

Council of Science Editors:

Liu C. Sequential pattern analysis in dynamic business environments. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47695/


Macquarie University

12. Moore, Alex Edward. Random parameters analysis of competitive agents in an imperfect information environment.

Degree: 2012, Macquarie University

"This thesis is presented for the degree of Doctor of Philosophy"

"September 2011 (original), September 2012 (with corrections)"

Bibliography: leaves 153-156.

1. Trading in uncertainty… (more)

Subjects/Keywords: Probabilities  – Mathematical models; Prediction theory; Machine learning  – Mathematical models; Pattern recognition systems; Mathematical statistics; Statistical decision; Games of chance (Mathematics); Game theory; adaptive learning algorithm; adaptive regression; game theoretic methods; machine learning; gambling; adaptive random parameters

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APA (6th Edition):

Moore, A. E. (2012). Random parameters analysis of competitive agents in an imperfect information environment. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/266883

Chicago Manual of Style (16th Edition):

Moore, Alex Edward. “Random parameters analysis of competitive agents in an imperfect information environment.” 2012. Doctoral Dissertation, Macquarie University. Accessed October 21, 2019. http://hdl.handle.net/1959.14/266883.

MLA Handbook (7th Edition):

Moore, Alex Edward. “Random parameters analysis of competitive agents in an imperfect information environment.” 2012. Web. 21 Oct 2019.

Vancouver:

Moore AE. Random parameters analysis of competitive agents in an imperfect information environment. [Internet] [Doctoral dissertation]. Macquarie University; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1959.14/266883.

Council of Science Editors:

Moore AE. Random parameters analysis of competitive agents in an imperfect information environment. [Doctoral Dissertation]. Macquarie University; 2012. Available from: http://hdl.handle.net/1959.14/266883


University of Western Sydney

13. Morrison, Paul. Shape matching based on skeletonisation and inexact graph matching.

Degree: 2011, University of Western Sydney

 Shape matching is a difficult and important problem that remains unsolved. There are many applications of shape matching, including content-based image retrieval, computer-aided design, optical… (more)

Subjects/Keywords: Thesis (Ph.D.) – University of Western Sydney, 2011; pattern recognition systems; computer algorithms; image processing; digital techniques; statistical decision

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APA (6th Edition):

Morrison, P. (2011). Shape matching based on skeletonisation and inexact graph matching. (Thesis). University of Western Sydney. Retrieved from http://handle.uws.edu.au:8081/1959.7/506687

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):

Morrison, Paul. “Shape matching based on skeletonisation and inexact graph matching.” 2011. Thesis, University of Western Sydney. Accessed October 21, 2019. http://handle.uws.edu.au:8081/1959.7/506687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Morrison, Paul. “Shape matching based on skeletonisation and inexact graph matching.” 2011. Web. 21 Oct 2019.

Vancouver:

Morrison P. Shape matching based on skeletonisation and inexact graph matching. [Internet] [Thesis]. University of Western Sydney; 2011. [cited 2019 Oct 21]. Available from: http://handle.uws.edu.au:8081/1959.7/506687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morrison P. Shape matching based on skeletonisation and inexact graph matching. [Thesis]. University of Western Sydney; 2011. Available from: http://handle.uws.edu.au:8081/1959.7/506687

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Exeter

14. Schmolck, Alexander. Smooth relevance vector machines.

Degree: PhD, 2008, University of Exeter

 Regression tasks belong to the set of core problems faced in statistics and machine learning and promising approaches can often be generalized to also deal… (more)

Subjects/Keywords: 006.4; Pattern Recognition : Kernel methods : Wavelet shrinkage

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schmolck, A. (2008). Smooth relevance vector machines. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/40793

Chicago Manual of Style (16th Edition):

Schmolck, Alexander. “Smooth relevance vector machines.” 2008. Doctoral Dissertation, University of Exeter. Accessed October 21, 2019. http://hdl.handle.net/10036/40793.

MLA Handbook (7th Edition):

Schmolck, Alexander. “Smooth relevance vector machines.” 2008. Web. 21 Oct 2019.

Vancouver:

Schmolck A. Smooth relevance vector machines. [Internet] [Doctoral dissertation]. University of Exeter; 2008. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10036/40793.

Council of Science Editors:

Schmolck A. Smooth relevance vector machines. [Doctoral Dissertation]. University of Exeter; 2008. Available from: http://hdl.handle.net/10036/40793


Oregon State University

15. You, Zeyu. A statistical inference framework for finding recurring patterns in large data with applications to energy management.

Degree: MS, Electrical and Computer Engineering, 2014, Oregon State University

 We consider the problem of finding unknown patterns that are recurring across multiple sets. For example, finding multiple objects that are present in multiple images… (more)

Subjects/Keywords: recurring pattern recognition; Pattern recognition systems  – Mathematical models

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APA (6th Edition):

You, Z. (2014). A statistical inference framework for finding recurring patterns in large data with applications to energy management. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/50023

Chicago Manual of Style (16th Edition):

You, Zeyu. “A statistical inference framework for finding recurring patterns in large data with applications to energy management.” 2014. Masters Thesis, Oregon State University. Accessed October 21, 2019. http://hdl.handle.net/1957/50023.

MLA Handbook (7th Edition):

You, Zeyu. “A statistical inference framework for finding recurring patterns in large data with applications to energy management.” 2014. Web. 21 Oct 2019.

Vancouver:

You Z. A statistical inference framework for finding recurring patterns in large data with applications to energy management. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1957/50023.

Council of Science Editors:

You Z. A statistical inference framework for finding recurring patterns in large data with applications to energy management. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/50023

16. Laaksonen, Jorma. Subspace Classifiers in Recognition of Handwritten Digits.

Degree: 2001, Helsinki University of Technology

This thesis consists of two parts. The first part reviews the general structure of a pattern recognition system and, in particular, various statistical and neural… (more)

Subjects/Keywords: pattern recognition; adaptive systems; neural networks; statistical classification; subspace methods; prototype-based classification; feature extraction; optical character recognition; handwritten digits; classifier comparison; benchmarking study

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APA (6th Edition):

Laaksonen, J. (2001). Subspace Classifiers in Recognition of Handwritten Digits. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/199X/isbn9512254794/

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):

Laaksonen, Jorma. “Subspace Classifiers in Recognition of Handwritten Digits.” 2001. Thesis, Helsinki University of Technology. Accessed October 21, 2019. http://lib.tkk.fi/Diss/199X/isbn9512254794/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Laaksonen, Jorma. “Subspace Classifiers in Recognition of Handwritten Digits.” 2001. Web. 21 Oct 2019.

Vancouver:

Laaksonen J. Subspace Classifiers in Recognition of Handwritten Digits. [Internet] [Thesis]. Helsinki University of Technology; 2001. [cited 2019 Oct 21]. Available from: http://lib.tkk.fi/Diss/199X/isbn9512254794/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Laaksonen J. Subspace Classifiers in Recognition of Handwritten Digits. [Thesis]. Helsinki University of Technology; 2001. Available from: http://lib.tkk.fi/Diss/199X/isbn9512254794/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan State University

17. Chorzempa, Terrence L. Relative sensitivity of a family of closest-point graphs in vision applications.

Degree: MS, Department of Computer Science, 1988, Michigan State University

Subjects/Keywords: Computer vision; Graphic methods; Pattern recognition systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chorzempa, T. L. (1988). Relative sensitivity of a family of closest-point graphs in vision applications. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:28759

Chicago Manual of Style (16th Edition):

Chorzempa, Terrence L. “Relative sensitivity of a family of closest-point graphs in vision applications.” 1988. Masters Thesis, Michigan State University. Accessed October 21, 2019. http://etd.lib.msu.edu/islandora/object/etd:28759.

MLA Handbook (7th Edition):

Chorzempa, Terrence L. “Relative sensitivity of a family of closest-point graphs in vision applications.” 1988. Web. 21 Oct 2019.

Vancouver:

Chorzempa TL. Relative sensitivity of a family of closest-point graphs in vision applications. [Internet] [Masters thesis]. Michigan State University; 1988. [cited 2019 Oct 21]. Available from: http://etd.lib.msu.edu/islandora/object/etd:28759.

Council of Science Editors:

Chorzempa TL. Relative sensitivity of a family of closest-point graphs in vision applications. [Masters Thesis]. Michigan State University; 1988. Available from: http://etd.lib.msu.edu/islandora/object/etd:28759


Portland State University

18. Sharma, Karan. The Link Between Image Segmentation and Image Recognition.

Degree: MS(M.S.) in Computer Science, Computer Science, 2012, Portland State University

  A long standing debate in computer vision community concerns the link between segmentation and recognition. The question I am trying to answer here is,… (more)

Subjects/Keywords: Image segmentation; Scalability; Recognition algorithms; Computer vision; Pattern recognition systems; Image processing; Optical pattern recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharma, K. (2012). The Link Between Image Segmentation and Image Recognition. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/199

Chicago Manual of Style (16th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Masters Thesis, Portland State University. Accessed October 21, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/199.

MLA Handbook (7th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Web. 21 Oct 2019.

Vancouver:

Sharma K. The Link Between Image Segmentation and Image Recognition. [Internet] [Masters thesis]. Portland State University; 2012. [cited 2019 Oct 21]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/199.

Council of Science Editors:

Sharma K. The Link Between Image Segmentation and Image Recognition. [Masters Thesis]. Portland State University; 2012. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/199


Florida Atlantic University

19. Huang, Lin. Automated biometrics of audio-visual multiple modals.

Degree: PhD, 2010, Florida Atlantic University

Summary: Biometrics is the science and technology of measuring and analyzing biological data for authentication purposes. Its progress has brought in a large number of… (more)

Subjects/Keywords: Pattern recognition systems; Optical pattern recognition; Biometric identification; Identification – Automation; Automatic speech recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, L. (2010). Automated biometrics of audio-visual multiple modals. (Doctoral Dissertation). Florida Atlantic University. Retrieved from http://purl.flvc.org/FAU/1927864

Chicago Manual of Style (16th Edition):

Huang, Lin. “Automated biometrics of audio-visual multiple modals.” 2010. Doctoral Dissertation, Florida Atlantic University. Accessed October 21, 2019. http://purl.flvc.org/FAU/1927864.

MLA Handbook (7th Edition):

Huang, Lin. “Automated biometrics of audio-visual multiple modals.” 2010. Web. 21 Oct 2019.

Vancouver:

Huang L. Automated biometrics of audio-visual multiple modals. [Internet] [Doctoral dissertation]. Florida Atlantic University; 2010. [cited 2019 Oct 21]. Available from: http://purl.flvc.org/FAU/1927864.

Council of Science Editors:

Huang L. Automated biometrics of audio-visual multiple modals. [Doctoral Dissertation]. Florida Atlantic University; 2010. Available from: http://purl.flvc.org/FAU/1927864


University of Technology, Sydney

20. Zhang, Z. Video tracking of people under severe occlusions.

Degree: 2010, University of Technology, Sydney

 Video surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision and pattern recognition.… (more)

Subjects/Keywords: Video surveillance.; Computer vision.; Pattern recognition systems.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Z. (2010). Video tracking of people under severe occlusions. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/20313

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):

Zhang, Z. “Video tracking of people under severe occlusions.” 2010. Thesis, University of Technology, Sydney. Accessed October 21, 2019. http://hdl.handle.net/10453/20313.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Z. “Video tracking of people under severe occlusions.” 2010. Web. 21 Oct 2019.

Vancouver:

Zhang Z. Video tracking of people under severe occlusions. [Internet] [Thesis]. University of Technology, Sydney; 2010. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10453/20313.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Z. Video tracking of people under severe occlusions. [Thesis]. University of Technology, Sydney; 2010. Available from: http://hdl.handle.net/10453/20313

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oregon State University

21. Bibby, Michael C. Special associative preprocessing structures for qualitative feature extraction.

Degree: MS, Electrical and Computer Engineering, 1986, Oregon State University

 Existing pattern recognition and classification algorithms in computer vision require vast amounts of computations on input data. As a result, memory access time is a… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Bibby, M. C. (1986). Special associative preprocessing structures for qualitative feature extraction. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39899

Chicago Manual of Style (16th Edition):

Bibby, Michael C. “Special associative preprocessing structures for qualitative feature extraction.” 1986. Masters Thesis, Oregon State University. Accessed October 21, 2019. http://hdl.handle.net/1957/39899.

MLA Handbook (7th Edition):

Bibby, Michael C. “Special associative preprocessing structures for qualitative feature extraction.” 1986. Web. 21 Oct 2019.

Vancouver:

Bibby MC. Special associative preprocessing structures for qualitative feature extraction. [Internet] [Masters thesis]. Oregon State University; 1986. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1957/39899.

Council of Science Editors:

Bibby MC. Special associative preprocessing structures for qualitative feature extraction. [Masters Thesis]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/39899


Oregon State University

22. Levine, Barry Arthur. The automated inference of tree system.

Degree: PhD, Computer Science, 1979, Oregon State University

 Tree systems are used in syntactic pattern recognition for describing two-dimensional patterns. We extend results on tree automata with the introduction of the subtree-invariant equivalence… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Levine, B. A. (1979). The automated inference of tree system. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/43116

Chicago Manual of Style (16th Edition):

Levine, Barry Arthur. “The automated inference of tree system.” 1979. Doctoral Dissertation, Oregon State University. Accessed October 21, 2019. http://hdl.handle.net/1957/43116.

MLA Handbook (7th Edition):

Levine, Barry Arthur. “The automated inference of tree system.” 1979. Web. 21 Oct 2019.

Vancouver:

Levine BA. The automated inference of tree system. [Internet] [Doctoral dissertation]. Oregon State University; 1979. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1957/43116.

Council of Science Editors:

Levine BA. The automated inference of tree system. [Doctoral Dissertation]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/43116


Hong Kong University of Science and Technology

23. Xu, Pengfei. Pattern-aware selection and arrangement of graphic elements.

Degree: 2015, Hong Kong University of Science and Technology

 Selection and arrangement of graphic elements are two fundamental tasks in many text and graphic editing scenarios. Traditional interactive techniques such as lasso selection, snapping… (more)

Subjects/Keywords: Image processing; Digital techniques; Pattern recognition systems

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APA (6th Edition):

Xu, P. (2015). Pattern-aware selection and arrangement of graphic elements. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html

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):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed October 21, 2019. https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Web. 21 Oct 2019.

Vancouver:

Xu P. Pattern-aware selection and arrangement of graphic elements. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2019 Oct 21]. Available from: https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu P. Pattern-aware selection and arrangement of graphic elements. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

24. Cao, Nan. Visual analysis of relational patterns in multidimensional data.

Degree: 2012, Hong Kong University of Science and Technology

 Multidimensional data are commonly used to represent both structured and unstructured information. Understanding the innate relations among different dimensions and data items is one of… (more)

Subjects/Keywords: Visual analytics; Information visualization; Pattern recognition systems

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APA (6th Edition):

Cao, N. (2012). Visual analysis of relational patterns in multidimensional data. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198602 ; http://repository.ust.hk/ir/bitstream/1783.1-7733/1/th_redirect.html

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):

Cao, Nan. “Visual analysis of relational patterns in multidimensional data.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed October 21, 2019. https://doi.org/10.14711/thesis-b1198602 ; http://repository.ust.hk/ir/bitstream/1783.1-7733/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cao, Nan. “Visual analysis of relational patterns in multidimensional data.” 2012. Web. 21 Oct 2019.

Vancouver:

Cao N. Visual analysis of relational patterns in multidimensional data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Oct 21]. Available from: https://doi.org/10.14711/thesis-b1198602 ; http://repository.ust.hk/ir/bitstream/1783.1-7733/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cao N. Visual analysis of relational patterns in multidimensional data. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198602 ; http://repository.ust.hk/ir/bitstream/1783.1-7733/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McGill University

25. Bouchard, Diana C. Combined top-down and bottom-up algorithms for using context in text recognition.

Degree: MS, School of Computer Science, 1979, McGill University

Subjects/Keywords: Pattern recognition systems.

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APA (6th Edition):

Bouchard, D. C. (1979). Combined top-down and bottom-up algorithms for using context in text recognition. (Masters Thesis). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile54673.pdf

Chicago Manual of Style (16th Edition):

Bouchard, Diana C. “Combined top-down and bottom-up algorithms for using context in text recognition.” 1979. Masters Thesis, McGill University. Accessed October 21, 2019. http://digitool.library.mcgill.ca/thesisfile54673.pdf.

MLA Handbook (7th Edition):

Bouchard, Diana C. “Combined top-down and bottom-up algorithms for using context in text recognition.” 1979. Web. 21 Oct 2019.

Vancouver:

Bouchard DC. Combined top-down and bottom-up algorithms for using context in text recognition. [Internet] [Masters thesis]. McGill University; 1979. [cited 2019 Oct 21]. Available from: http://digitool.library.mcgill.ca/thesisfile54673.pdf.

Council of Science Editors:

Bouchard DC. Combined top-down and bottom-up algorithms for using context in text recognition. [Masters Thesis]. McGill University; 1979. Available from: http://digitool.library.mcgill.ca/thesisfile54673.pdf


Oregon State University

26. Jiang, Jin. The architecture and design of a neural network classifier.

Degree: MS, Electrical and Computer Engineering, 1990, Oregon State University

 The objective of this thesis is to present the architecture and design of a neural network-based pattern classifier. The classifier detects textual characters which have… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Jiang, J. (1990). The architecture and design of a neural network classifier. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39875

Chicago Manual of Style (16th Edition):

Jiang, Jin. “The architecture and design of a neural network classifier.” 1990. Masters Thesis, Oregon State University. Accessed October 21, 2019. http://hdl.handle.net/1957/39875.

MLA Handbook (7th Edition):

Jiang, Jin. “The architecture and design of a neural network classifier.” 1990. Web. 21 Oct 2019.

Vancouver:

Jiang J. The architecture and design of a neural network classifier. [Internet] [Masters thesis]. Oregon State University; 1990. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1957/39875.

Council of Science Editors:

Jiang J. The architecture and design of a neural network classifier. [Masters Thesis]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/39875


University of Johannesburg

27. Findlay, Peter. Intelligent system for automated components recognition and handling.

Degree: 2012, University of Johannesburg

M.Ing.

A machine vision system must, by definition, be intelligent, adaptable and reliable to satisfY the objectives of a system that is highly interactive with… (more)

Subjects/Keywords: Computer vision; Artificial intelligence; Pattern recognition systems

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APA (6th Edition):

Findlay, P. (2012). Intelligent system for automated components recognition and handling. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/4365

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):

Findlay, Peter. “Intelligent system for automated components recognition and handling.” 2012. Thesis, University of Johannesburg. Accessed October 21, 2019. http://hdl.handle.net/10210/4365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Findlay, Peter. “Intelligent system for automated components recognition and handling.” 2012. Web. 21 Oct 2019.

Vancouver:

Findlay P. Intelligent system for automated components recognition and handling. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10210/4365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Findlay P. Intelligent system for automated components recognition and handling. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/4365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

28. Ho, Ka Mun. Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:.

Degree: PhD, Electrical and Computer Engineering, 2010, Rutgers University

Wavelet transform-based methodologies for both Automatic Modulation Recognition (AMR) and Demodulation of digitally modulated communications signals can be utilized in an enabling platform for the… (more)

Subjects/Keywords: Modulation (Electronics); Pattern recognition systems; Signal processing

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APA (6th Edition):

Ho, K. M. (2010). Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052117

Chicago Manual of Style (16th Edition):

Ho, Ka Mun. “Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:.” 2010. Doctoral Dissertation, Rutgers University. Accessed October 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052117.

MLA Handbook (7th Edition):

Ho, Ka Mun. “Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:.” 2010. Web. 21 Oct 2019.

Vancouver:

Ho KM. Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Oct 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052117.

Council of Science Editors:

Ho KM. Automatic recognition and demodulation of digitally modulated communications signals using wavelet-domain signatures:. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052117


Loughborough University

29. Fish, Jonathan C. How sketches work : a cognitive theory for improved system design.

Degree: PhD, 1996, Loughborough University

 Evidence is presented that in the early stages of design or composition the mental processes used by artists for visual invention require a different type… (more)

Subjects/Keywords: 621.3994; Visualizing methods : Arts : Image perception : Pattern recognition systems : Pattern perception

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APA (6th Edition):

Fish, J. C. (1996). How sketches work : a cognitive theory for improved system design. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/7418 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360840

Chicago Manual of Style (16th Edition):

Fish, Jonathan C. “How sketches work : a cognitive theory for improved system design.” 1996. Doctoral Dissertation, Loughborough University. Accessed October 21, 2019. https://dspace.lboro.ac.uk/2134/7418 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360840.

MLA Handbook (7th Edition):

Fish, Jonathan C. “How sketches work : a cognitive theory for improved system design.” 1996. Web. 21 Oct 2019.

Vancouver:

Fish JC. How sketches work : a cognitive theory for improved system design. [Internet] [Doctoral dissertation]. Loughborough University; 1996. [cited 2019 Oct 21]. Available from: https://dspace.lboro.ac.uk/2134/7418 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360840.

Council of Science Editors:

Fish JC. How sketches work : a cognitive theory for improved system design. [Doctoral Dissertation]. Loughborough University; 1996. Available from: https://dspace.lboro.ac.uk/2134/7418 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360840


Loughborough University

30. Fish, Jonathan C. How sketches work : a cognitive theory for improved system design.

Degree: PhD, 1996, Loughborough University

 Evidence is presented that in the early stages of design or composition the mental processes used by artists for visual invention require a different type… (more)

Subjects/Keywords: 621.3994; Visualizing methods; Arts; Image perception; Pattern recognition systems; Pattern perception

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fish, J. C. (1996). How sketches work : a cognitive theory for improved system design. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/7418

Chicago Manual of Style (16th Edition):

Fish, Jonathan C. “How sketches work : a cognitive theory for improved system design.” 1996. Doctoral Dissertation, Loughborough University. Accessed October 21, 2019. http://hdl.handle.net/2134/7418.

MLA Handbook (7th Edition):

Fish, Jonathan C. “How sketches work : a cognitive theory for improved system design.” 1996. Web. 21 Oct 2019.

Vancouver:

Fish JC. How sketches work : a cognitive theory for improved system design. [Internet] [Doctoral dissertation]. Loughborough University; 1996. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2134/7418.

Council of Science Editors:

Fish JC. How sketches work : a cognitive theory for improved system design. [Doctoral Dissertation]. Loughborough University; 1996. Available from: http://hdl.handle.net/2134/7418

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