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You searched for subject:(Object recognition). Showing records 1 – 30 of 576 total matches.

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Vanderbilt University

1. Luo, Xi. An Implementation of Object Recognition Using Binocular Vision.

Degree: MS, Electrical Engineering, 2011, Vanderbilt University

 The human active visual perception is closely related to a “fixation-move-fixation” rhythm. In recent past, the scientists adopted this concept with the expectation that camera-equipped… (more)

Subjects/Keywords: Robot; Object Recognition; Vision

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

APA (6th Edition):

Luo, X. (2011). An Implementation of Object Recognition Using Binocular Vision. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12062

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):

Luo, Xi. “An Implementation of Object Recognition Using Binocular Vision.” 2011. Thesis, Vanderbilt University. Accessed October 30, 2020. http://hdl.handle.net/1803/12062.

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

MLA Handbook (7th Edition):

Luo, Xi. “An Implementation of Object Recognition Using Binocular Vision.” 2011. Web. 30 Oct 2020.

Vancouver:

Luo X. An Implementation of Object Recognition Using Binocular Vision. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1803/12062.

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

Council of Science Editors:

Luo X. An Implementation of Object Recognition Using Binocular Vision. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/12062

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


Queens University

2. Lam, Joseph. Object Recognition by Registration of Repeatable 3D Interest Segments .

Degree: Electrical and Computer Engineering, 2015, Queens University

 3D object recognition using depth data remains a difficult problem in computer vision. In this thesis, an object recognition system based on registering repeatable 3D… (more)

Subjects/Keywords: 3D Segmentation ; Object Recognition ; Registration

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APA (6th Edition):

Lam, J. (2015). Object Recognition by Registration of Repeatable 3D Interest Segments . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12728

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):

Lam, Joseph. “Object Recognition by Registration of Repeatable 3D Interest Segments .” 2015. Thesis, Queens University. Accessed October 30, 2020. http://hdl.handle.net/1974/12728.

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

MLA Handbook (7th Edition):

Lam, Joseph. “Object Recognition by Registration of Repeatable 3D Interest Segments .” 2015. Web. 30 Oct 2020.

Vancouver:

Lam J. Object Recognition by Registration of Repeatable 3D Interest Segments . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1974/12728.

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

Council of Science Editors:

Lam J. Object Recognition by Registration of Repeatable 3D Interest Segments . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/12728

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


University of Toronto

3. Chua, Jeroen. Learning Patch-based Structural Element Models with Hierarchical Palettes.

Degree: 2012, University of Toronto

Image patches can be factorized into ‘shapelets’ that describe segmentation patterns, and palettes that describe how to paint the segments. This allows a flexible factorization… (more)

Subjects/Keywords: Computer vision; Object recognition; 0800

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APA (6th Edition):

Chua, J. (2012). Learning Patch-based Structural Element Models with Hierarchical Palettes. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/33384

Chicago Manual of Style (16th Edition):

Chua, Jeroen. “Learning Patch-based Structural Element Models with Hierarchical Palettes.” 2012. Masters Thesis, University of Toronto. Accessed October 30, 2020. http://hdl.handle.net/1807/33384.

MLA Handbook (7th Edition):

Chua, Jeroen. “Learning Patch-based Structural Element Models with Hierarchical Palettes.” 2012. Web. 30 Oct 2020.

Vancouver:

Chua J. Learning Patch-based Structural Element Models with Hierarchical Palettes. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1807/33384.

Council of Science Editors:

Chua J. Learning Patch-based Structural Element Models with Hierarchical Palettes. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/33384


Oregon State University

4. Liu, Tian. Region based image matching for 3D object recognition.

Degree: MS, Computer Science, 2010, Oregon State University

 3D object recognition is a very difficult and important problem in computer vision, arising in a wide range of applications. Typically in 3D object recognition,… (more)

Subjects/Keywords: object recognition; Image registration

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APA (6th Edition):

Liu, T. (2010). Region based image matching for 3D object recognition. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16869

Chicago Manual of Style (16th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Masters Thesis, Oregon State University. Accessed October 30, 2020. http://hdl.handle.net/1957/16869.

MLA Handbook (7th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Web. 30 Oct 2020.

Vancouver:

Liu T. Region based image matching for 3D object recognition. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1957/16869.

Council of Science Editors:

Liu T. Region based image matching for 3D object recognition. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16869


University of Cape Town

5. Govender, Natasha. Active object recognition for 2D and 3D applications.

Degree: Image, Electrical Engineering, 2015, University of Cape Town

 Active object recognition provides a mechanism for selecting informative viewpoints to complete recognition tasks as quickly and accurately as possible. One can manipulate the position… (more)

Subjects/Keywords: Electrical Engineering; object recognition systems

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APA (6th Edition):

Govender, N. (2015). Active object recognition for 2D and 3D applications. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/16520

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):

Govender, Natasha. “Active object recognition for 2D and 3D applications.” 2015. Thesis, University of Cape Town. Accessed October 30, 2020. http://hdl.handle.net/11427/16520.

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

MLA Handbook (7th Edition):

Govender, Natasha. “Active object recognition for 2D and 3D applications.” 2015. Web. 30 Oct 2020.

Vancouver:

Govender N. Active object recognition for 2D and 3D applications. [Internet] [Thesis]. University of Cape Town; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/11427/16520.

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

Council of Science Editors:

Govender N. Active object recognition for 2D and 3D applications. [Thesis]. University of Cape Town; 2015. Available from: http://hdl.handle.net/11427/16520

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


Victoria University of Wellington

6. Collins, Miriam. The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm.

Degree: 2016, Victoria University of Wellington

 Previous research has demonstrated that ethanol produces differential effects on non-spatial or recognition memory and spatial memory; spatial memory deficits were consistently found to be… (more)

Subjects/Keywords: Novel object recognition; Ethanol; Memory

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APA (6th Edition):

Collins, M. (2016). The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5249

Chicago Manual of Style (16th Edition):

Collins, Miriam. “The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm.” 2016. Masters Thesis, Victoria University of Wellington. Accessed October 30, 2020. http://hdl.handle.net/10063/5249.

MLA Handbook (7th Edition):

Collins, Miriam. “The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm.” 2016. Web. 30 Oct 2020.

Vancouver:

Collins M. The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm. [Internet] [Masters thesis]. Victoria University of Wellington; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10063/5249.

Council of Science Editors:

Collins M. The effect of binge-like ethanol exposure on adolescent performance in non-spatial and spatial forms of the novel object recognition paradigm. [Masters Thesis]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5249


University of Victoria

7. Hagen, Simen. The influence of real-world object expertise on visual discrimination mechanisms.

Degree: Department of Psychology, 2018, University of Victoria

Object experts quickly and accurately discriminate objects within their domain of expertise. Although expert recognition has been extensively studied both at the behavioral- and neural-levels… (more)

Subjects/Keywords: Expert object recognition; Perceptual learning

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APA (6th Edition):

Hagen, S. (2018). The influence of real-world object expertise on visual discrimination mechanisms. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8942

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):

Hagen, Simen. “The influence of real-world object expertise on visual discrimination mechanisms.” 2018. Thesis, University of Victoria. Accessed October 30, 2020. https://dspace.library.uvic.ca//handle/1828/8942.

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

MLA Handbook (7th Edition):

Hagen, Simen. “The influence of real-world object expertise on visual discrimination mechanisms.” 2018. Web. 30 Oct 2020.

Vancouver:

Hagen S. The influence of real-world object expertise on visual discrimination mechanisms. [Internet] [Thesis]. University of Victoria; 2018. [cited 2020 Oct 30]. Available from: https://dspace.library.uvic.ca//handle/1828/8942.

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

Council of Science Editors:

Hagen S. The influence of real-world object expertise on visual discrimination mechanisms. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/8942

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

8. Kent, David E. Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations.

Degree: MS, 2014, Worcester Polytechnic Institute

Object recognition and manipulation are critical for enabling robots to operate within a household environment. There are many grasp planners that can estimate grasps based… (more)

Subjects/Keywords: object recognition; grasp demonstration; crowdsourcing

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APA (6th Edition):

Kent, D. E. (2014). Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-040914-141258 ; https://digitalcommons.wpi.edu/etd-theses/199

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):

Kent, David E. “Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations.” 2014. Thesis, Worcester Polytechnic Institute. Accessed October 30, 2020. etd-040914-141258 ; https://digitalcommons.wpi.edu/etd-theses/199.

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

MLA Handbook (7th Edition):

Kent, David E. “Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations.” 2014. Web. 30 Oct 2020.

Vancouver:

Kent DE. Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations. [Internet] [Thesis]. Worcester Polytechnic Institute; 2014. [cited 2020 Oct 30]. Available from: etd-040914-141258 ; https://digitalcommons.wpi.edu/etd-theses/199.

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

Council of Science Editors:

Kent DE. Construction of a 3D Object Recognition and Manipulation Database from Grasp Demonstrations. [Thesis]. Worcester Polytechnic Institute; 2014. Available from: etd-040914-141258 ; https://digitalcommons.wpi.edu/etd-theses/199

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


University of Bath

9. Corradi, Tadeo. Integrating visual and tactile robotic perception.

Degree: PhD, 2018, University of Bath

 The aim of this project is to enable robots to recognise objects and object categories by combining vision and touch. In this thesis, a novel… (more)

Subjects/Keywords: 621; tactile sensing; object recognition

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APA (6th Edition):

Corradi, T. (2018). Integrating visual and tactile robotic perception. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/integrating-visual-and-tactile-robotic-perception(d6f395e2-310b-4892-9fa9-ef8b6b9c9407).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761005

Chicago Manual of Style (16th Edition):

Corradi, Tadeo. “Integrating visual and tactile robotic perception.” 2018. Doctoral Dissertation, University of Bath. Accessed October 30, 2020. https://researchportal.bath.ac.uk/en/studentthesis/integrating-visual-and-tactile-robotic-perception(d6f395e2-310b-4892-9fa9-ef8b6b9c9407).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761005.

MLA Handbook (7th Edition):

Corradi, Tadeo. “Integrating visual and tactile robotic perception.” 2018. Web. 30 Oct 2020.

Vancouver:

Corradi T. Integrating visual and tactile robotic perception. [Internet] [Doctoral dissertation]. University of Bath; 2018. [cited 2020 Oct 30]. Available from: https://researchportal.bath.ac.uk/en/studentthesis/integrating-visual-and-tactile-robotic-perception(d6f395e2-310b-4892-9fa9-ef8b6b9c9407).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761005.

Council of Science Editors:

Corradi T. Integrating visual and tactile robotic perception. [Doctoral Dissertation]. University of Bath; 2018. Available from: https://researchportal.bath.ac.uk/en/studentthesis/integrating-visual-and-tactile-robotic-perception(d6f395e2-310b-4892-9fa9-ef8b6b9c9407).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761005


Virginia Tech

10. Brown, James Michael. Perceived Size Modulates Cortical Processing of Objects.

Degree: MS, Psychology, 2015, Virginia Tech

 Empirical object recognition research indicates that objects are represented and perceived as hierarchical part-whole arrangements that vary according to bottom-up and top-down biases. An ongoing… (more)

Subjects/Keywords: Object Recognition; fMRI; Perceived Size

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APA (6th Edition):

Brown, J. M. (2015). Perceived Size Modulates Cortical Processing of Objects. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78079

Chicago Manual of Style (16th Edition):

Brown, James Michael. “Perceived Size Modulates Cortical Processing of Objects.” 2015. Masters Thesis, Virginia Tech. Accessed October 30, 2020. http://hdl.handle.net/10919/78079.

MLA Handbook (7th Edition):

Brown, James Michael. “Perceived Size Modulates Cortical Processing of Objects.” 2015. Web. 30 Oct 2020.

Vancouver:

Brown JM. Perceived Size Modulates Cortical Processing of Objects. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10919/78079.

Council of Science Editors:

Brown JM. Perceived Size Modulates Cortical Processing of Objects. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78079


Vanderbilt University

11. Sunday, Mackenzie Ann. Behavioral and neural correlates of domain-general object recognition ability.

Degree: PhD, Psychology, 2019, Vanderbilt University

 Recent research has found evidence of a domain-general object recognition ability, called o, which is distinct from general intelligence and other cognitive and personality constructs.… (more)

Subjects/Keywords: object recognition; individual differences; fMRI

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APA (6th Edition):

Sunday, M. A. (2019). Behavioral and neural correlates of domain-general object recognition ability. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12307

Chicago Manual of Style (16th Edition):

Sunday, Mackenzie Ann. “Behavioral and neural correlates of domain-general object recognition ability.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed October 30, 2020. http://hdl.handle.net/1803/12307.

MLA Handbook (7th Edition):

Sunday, Mackenzie Ann. “Behavioral and neural correlates of domain-general object recognition ability.” 2019. Web. 30 Oct 2020.

Vancouver:

Sunday MA. Behavioral and neural correlates of domain-general object recognition ability. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1803/12307.

Council of Science Editors:

Sunday MA. Behavioral and neural correlates of domain-general object recognition ability. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12307


Oregon State University

12. Zhang, Wei. Image features and learning algorithms for biological, generic and social object recognition.

Degree: PhD, Electrical and Computer Engineering, 2009, Oregon State University

 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)

Subjects/Keywords: object recognition; Optical pattern recognition  – Mathematical models

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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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2020 Oct 30]. 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


University of Manitoba

13. Naha, Shujon. Zero-shot Learning for Visual Recognition Problems.

Degree: Computer Science, 2015, University of Manitoba

 In this thesis we discuss different aspects of zero-shot learning and propose solutions for three challenging visual recognition problems: 1) unknown object recognition from images… (more)

Subjects/Keywords: Zero-shot Learning; Computer Vision; Object Recognition; Action Recognition; Object Segmentation

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APA (6th Edition):

Naha, S. (2015). Zero-shot Learning for Visual Recognition Problems. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31806

Chicago Manual of Style (16th Edition):

Naha, Shujon. “Zero-shot Learning for Visual Recognition Problems.” 2015. Masters Thesis, University of Manitoba. Accessed October 30, 2020. http://hdl.handle.net/1993/31806.

MLA Handbook (7th Edition):

Naha, Shujon. “Zero-shot Learning for Visual Recognition Problems.” 2015. Web. 30 Oct 2020.

Vancouver:

Naha S. Zero-shot Learning for Visual Recognition Problems. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1993/31806.

Council of Science Editors:

Naha S. Zero-shot Learning for Visual Recognition Problems. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/31806


University of Victoria

14. Moria, Kawther. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.

Degree: Department of Computer Science, 2016, University of Victoria

 Advances in social networks and multimedia technologies greatly facilitate the recording and sharing of video data on violent social and/or political events via In- ternet.… (more)

Subjects/Keywords: Object detection; Fire detection; Object recognition; Violent scene detection; Crowd recognition.

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APA (6th Edition):

Moria, K. (2016). Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7423

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):

Moria, Kawther. “Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.” 2016. Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/7423.

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

MLA Handbook (7th Edition):

Moria, Kawther. “Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.” 2016. Web. 30 Oct 2020.

Vancouver:

Moria K. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. [Internet] [Thesis]. University of Victoria; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/7423.

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

Council of Science Editors:

Moria K. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. [Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7423

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

15. Payet, Nadia. From shape-based object recognition and discovery to 3D scene interpretation.

Degree: PhD, Computer Science, 2011, Oregon State University

 This dissertation addresses a number of inter-related and fundamental problems in computer vision. Specifically, we address object discovery, recognition, segmentation, and 3D pose estimation in… (more)

Subjects/Keywords: object recognition

…LabelMe and Weizmann Horses . . . . . . . . . . . . . . . 42 3.1 Object recognition and… …To my family. Ti pa ti pa n’a arriv´ e. Chapter 1 – Introduction Object recognition from… …addressing them in isolation. Herein, we present a unified approach to object recognition, with the… …computer vision. Object recognition is particularly difficult because the appearance of objects… …framework for combined object recognition and segmentation, called the random forest random field… 

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APA (6th Edition):

Payet, N. (2011). From shape-based object recognition and discovery to 3D scene interpretation. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/21316

Chicago Manual of Style (16th Edition):

Payet, Nadia. “From shape-based object recognition and discovery to 3D scene interpretation.” 2011. Doctoral Dissertation, Oregon State University. Accessed October 30, 2020. http://hdl.handle.net/1957/21316.

MLA Handbook (7th Edition):

Payet, Nadia. “From shape-based object recognition and discovery to 3D scene interpretation.” 2011. Web. 30 Oct 2020.

Vancouver:

Payet N. From shape-based object recognition and discovery to 3D scene interpretation. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1957/21316.

Council of Science Editors:

Payet N. From shape-based object recognition and discovery to 3D scene interpretation. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21316


University of Guelph

16. Melichercik, Ashley. Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory.

Degree: MS, Department of Psychology, 2011, University of Guelph

 This study investigated the role of nicotinic acetylcholine receptors (nAChR) in object recognition and spatial recognition memory using the spontaneous object recognition (SOR) and object-location… (more)

Subjects/Keywords: nicotine; recognition; object; memory; perirhinal; hippocampus; rat

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APA (6th Edition):

Melichercik, A. (2011). Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035

Chicago Manual of Style (16th Edition):

Melichercik, Ashley. “Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory.” 2011. Masters Thesis, University of Guelph. Accessed October 30, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035.

MLA Handbook (7th Edition):

Melichercik, Ashley. “Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory.” 2011. Web. 30 Oct 2020.

Vancouver:

Melichercik A. Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory. [Internet] [Masters thesis]. University of Guelph; 2011. [cited 2020 Oct 30]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035.

Council of Science Editors:

Melichercik A. Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory. [Masters Thesis]. University of Guelph; 2011. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035


University of Wollongong

17. Worth, Patricia Lee. Object detection and classification with a CTFM ultrasonic sensor.

Degree: Master of Computer Science - Research, 2011, University of Wollongong

  Recognising objects using sonar presents a significant research problem, especially when echo information for feature extraction is scarce. Blind people, however, have shown an… (more)

Subjects/Keywords: CTFM; Mahalanobis distance; Object recognition; Sonar

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APA (6th Edition):

Worth, P. L. (2011). Object detection and classification with a CTFM ultrasonic sensor. (Masters Thesis). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; https://ro.uow.edu.au/theses/3469

Chicago Manual of Style (16th Edition):

Worth, Patricia Lee. “Object detection and classification with a CTFM ultrasonic sensor.” 2011. Masters Thesis, University of Wollongong. Accessed October 30, 2020. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; https://ro.uow.edu.au/theses/3469.

MLA Handbook (7th Edition):

Worth, Patricia Lee. “Object detection and classification with a CTFM ultrasonic sensor.” 2011. Web. 30 Oct 2020.

Vancouver:

Worth PL. Object detection and classification with a CTFM ultrasonic sensor. [Internet] [Masters thesis]. University of Wollongong; 2011. [cited 2020 Oct 30]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; https://ro.uow.edu.au/theses/3469.

Council of Science Editors:

Worth PL. Object detection and classification with a CTFM ultrasonic sensor. [Masters Thesis]. University of Wollongong; 2011. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; https://ro.uow.edu.au/theses/3469


Universitat Rovira i Virgili

18. Amezquita Gómez, Nicolás. A probabilistic integrated object recognition and tracking framework for video sequences.

Degree: Departament d'Enginyeria Informàtica i Matemàtiques, 2009, Universitat Rovira i Virgili

 El reconocimiento y seguimiento de múltiples objetos en secuencias de vídeo es uno de los principales desafíos en visión por ordenador que actualmente merece mucha… (more)

Subjects/Keywords: Object recognition; 004

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APA (6th Edition):

Amezquita Gómez, N. (2009). A probabilistic integrated object recognition and tracking framework for video sequences. (Thesis). Universitat Rovira i Virgili. Retrieved from http://hdl.handle.net/10803/8485

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):

Amezquita Gómez, Nicolás. “A probabilistic integrated object recognition and tracking framework for video sequences.” 2009. Thesis, Universitat Rovira i Virgili. Accessed October 30, 2020. http://hdl.handle.net/10803/8485.

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

MLA Handbook (7th Edition):

Amezquita Gómez, Nicolás. “A probabilistic integrated object recognition and tracking framework for video sequences.” 2009. Web. 30 Oct 2020.

Vancouver:

Amezquita Gómez N. A probabilistic integrated object recognition and tracking framework for video sequences. [Internet] [Thesis]. Universitat Rovira i Virgili; 2009. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10803/8485.

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

Council of Science Editors:

Amezquita Gómez N. A probabilistic integrated object recognition and tracking framework for video sequences. [Thesis]. Universitat Rovira i Virgili; 2009. Available from: http://hdl.handle.net/10803/8485

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


Universitat Autònoma de Barcelona

19. Gonfaus, Josep M. Towards Deep Image Understanding: From pixels to semantics.

Degree: Departament de Ciències de la Computació, 2012, Universitat Autònoma de Barcelona

 Understand the content of the images is one of the great challenges of computer vision. Being able to recognize which are the objects in the… (more)

Subjects/Keywords: Object recognition; Localization; Segmentation; Tecnologies; 004

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APA (6th Edition):

Gonfaus, J. M. (2012). Towards Deep Image Understanding: From pixels to semantics. (Thesis). Universitat Autònoma de Barcelona. Retrieved from http://hdl.handle.net/10803/117584

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):

Gonfaus, Josep M. “Towards Deep Image Understanding: From pixels to semantics.” 2012. Thesis, Universitat Autònoma de Barcelona. Accessed October 30, 2020. http://hdl.handle.net/10803/117584.

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

MLA Handbook (7th Edition):

Gonfaus, Josep M. “Towards Deep Image Understanding: From pixels to semantics.” 2012. Web. 30 Oct 2020.

Vancouver:

Gonfaus JM. Towards Deep Image Understanding: From pixels to semantics. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10803/117584.

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

Council of Science Editors:

Gonfaus JM. Towards Deep Image Understanding: From pixels to semantics. [Thesis]. Universitat Autònoma de Barcelona; 2012. Available from: http://hdl.handle.net/10803/117584

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


Linköping University

20. Grankvist, Ola. Recognition and Registration of 3D Models in Depth Sensor Data.

Degree: Computer Vision, 2016, Linköping University

Object Recognition is the art of localizing predefined objects in image sensor data. In this thesis a depth sensor was used which has the… (more)

Subjects/Keywords: depth sensor; object recognition; registration; point cloud

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APA (6th Edition):

Grankvist, O. (2016). Recognition and Registration of 3D Models in Depth Sensor Data. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452

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):

Grankvist, Ola. “Recognition and Registration of 3D Models in Depth Sensor Data.” 2016. Thesis, Linköping University. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.

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

MLA Handbook (7th Edition):

Grankvist, Ola. “Recognition and Registration of 3D Models in Depth Sensor Data.” 2016. Web. 30 Oct 2020.

Vancouver:

Grankvist O. Recognition and Registration of 3D Models in Depth Sensor Data. [Internet] [Thesis]. Linköping University; 2016. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.

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

Council of Science Editors:

Grankvist O. Recognition and Registration of 3D Models in Depth Sensor Data. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452

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

21. Jao, Ruth Joanne. The Neural Development of Visuohaptic Object Processing .

Degree: 2015, Indiana University

Object recognition is ubiquitous and essential for interacting with, as well as learning about, the surrounding multisensory environment. The inputs from multiple sensory modalities converge… (more)

Subjects/Keywords: Development; fMRI; Haptics; Multisensory; Object recognition; Vision

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

APA (6th Edition):

Jao, R. J. (2015). The Neural Development of Visuohaptic Object Processing . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/19914

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):

Jao, Ruth Joanne. “The Neural Development of Visuohaptic Object Processing .” 2015. Thesis, Indiana University. Accessed October 30, 2020. http://hdl.handle.net/2022/19914.

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

MLA Handbook (7th Edition):

Jao, Ruth Joanne. “The Neural Development of Visuohaptic Object Processing .” 2015. Web. 30 Oct 2020.

Vancouver:

Jao RJ. The Neural Development of Visuohaptic Object Processing . [Internet] [Thesis]. Indiana University; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/2022/19914.

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

Council of Science Editors:

Jao RJ. The Neural Development of Visuohaptic Object Processing . [Thesis]. Indiana University; 2015. Available from: http://hdl.handle.net/2022/19914

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


University of Minnesota

22. Fehr, Duc Alexandre. Covariance based point cloud descriptors for object detection and classification.

Degree: PhD, Computer science, 2013, University of Minnesota

 Processing 3D point data is of primary interest in many areas of computer vision, including object grasping, robot navigation, and 3D object recognition. The recent… (more)

Subjects/Keywords: Covariance; Image processing; Mobile robotics; Object recognition

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

APA (6th Edition):

Fehr, D. A. (2013). Covariance based point cloud descriptors for object detection and classification. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/158024

Chicago Manual of Style (16th Edition):

Fehr, Duc Alexandre. “Covariance based point cloud descriptors for object detection and classification.” 2013. Doctoral Dissertation, University of Minnesota. Accessed October 30, 2020. http://purl.umn.edu/158024.

MLA Handbook (7th Edition):

Fehr, Duc Alexandre. “Covariance based point cloud descriptors for object detection and classification.” 2013. Web. 30 Oct 2020.

Vancouver:

Fehr DA. Covariance based point cloud descriptors for object detection and classification. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Oct 30]. Available from: http://purl.umn.edu/158024.

Council of Science Editors:

Fehr DA. Covariance based point cloud descriptors for object detection and classification. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/158024


California State University – Sacramento

23. Wadhwani, Hitesh. A tool for tracking objects through V1KU, a neural network system.

Degree: MS, Computer Science, 2011, California State University – Sacramento

 The intent of this project is to explore the tracking capabilities of V1KU a neural network system. V1KU is a product by General Vision Company… (more)

Subjects/Keywords: Image recognition; Artificial intelligence; Object tracking

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

APA (6th Edition):

Wadhwani, H. (2011). A tool for tracking objects through V1KU, a neural network system. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/924

Chicago Manual of Style (16th Edition):

Wadhwani, Hitesh. “A tool for tracking objects through V1KU, a neural network system.” 2011. Masters Thesis, California State University – Sacramento. Accessed October 30, 2020. http://hdl.handle.net/10211.9/924.

MLA Handbook (7th Edition):

Wadhwani, Hitesh. “A tool for tracking objects through V1KU, a neural network system.” 2011. Web. 30 Oct 2020.

Vancouver:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10211.9/924.

Council of Science Editors:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/924


Virginia Tech

24. Cogswell, Michael Andrew. Understanding Representations and Reducing their Redundancy in Deep Networks.

Degree: MS, Computer Science, 2016, Virginia Tech

 Neural networks in their modern deep learning incarnation have achieved state of the art performance on a wide variety of tasks and domains. A core… (more)

Subjects/Keywords: Object Recognition; Overfitting; Computer Vision; Machine Learning

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APA (6th Edition):

Cogswell, M. A. (2016). Understanding Representations and Reducing their Redundancy in Deep Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78167

Chicago Manual of Style (16th Edition):

Cogswell, Michael Andrew. “Understanding Representations and Reducing their Redundancy in Deep Networks.” 2016. Masters Thesis, Virginia Tech. Accessed October 30, 2020. http://hdl.handle.net/10919/78167.

MLA Handbook (7th Edition):

Cogswell, Michael Andrew. “Understanding Representations and Reducing their Redundancy in Deep Networks.” 2016. Web. 30 Oct 2020.

Vancouver:

Cogswell MA. Understanding Representations and Reducing their Redundancy in Deep Networks. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10919/78167.

Council of Science Editors:

Cogswell MA. Understanding Representations and Reducing their Redundancy in Deep Networks. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78167


University of New South Wales

25. Morioka, Nobuyuki. Rethinking Spatial Relations Between Local Features for Generic Object Recognition.

Degree: Computer Science & Engineering, 2011, University of New South Wales

 Generic object recognition, the problem of recognising categories of objects, has been a long standing challenge in computer vision. While a histogram of quantised local… (more)

Subjects/Keywords: local features; generic object recognition; spatial relationships

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APA (6th Edition):

Morioka, N. (2011). Rethinking Spatial Relations Between Local Features for Generic Object Recognition. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51467 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10154/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Morioka, Nobuyuki. “Rethinking Spatial Relations Between Local Features for Generic Object Recognition.” 2011. Doctoral Dissertation, University of New South Wales. Accessed October 30, 2020. http://handle.unsw.edu.au/1959.4/51467 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10154/SOURCE02?view=true.

MLA Handbook (7th Edition):

Morioka, Nobuyuki. “Rethinking Spatial Relations Between Local Features for Generic Object Recognition.” 2011. Web. 30 Oct 2020.

Vancouver:

Morioka N. Rethinking Spatial Relations Between Local Features for Generic Object Recognition. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Oct 30]. Available from: http://handle.unsw.edu.au/1959.4/51467 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10154/SOURCE02?view=true.

Council of Science Editors:

Morioka N. Rethinking Spatial Relations Between Local Features for Generic Object Recognition. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51467 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10154/SOURCE02?view=true


University of Southern California

26. Kim, Jiye Gina. The neural coding of inter-object relations.

Degree: PhD, Psychology, 2011, University of Southern California

 Human vision is extraordinary in the speed and facility at which complex novel scenes can be understood. What is the mechanism by which such effortless… (more)

Subjects/Keywords: fMRI; inter-object relations; lateral occipital complex; object recognition; scene recognition; TMS

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

APA (6th Edition):

Kim, J. G. (2011). The neural coding of inter-object relations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667773/rec/7021

Chicago Manual of Style (16th Edition):

Kim, Jiye Gina. “The neural coding of inter-object relations.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 30, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667773/rec/7021.

MLA Handbook (7th Edition):

Kim, Jiye Gina. “The neural coding of inter-object relations.” 2011. Web. 30 Oct 2020.

Vancouver:

Kim JG. The neural coding of inter-object relations. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Oct 30]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667773/rec/7021.

Council of Science Editors:

Kim JG. The neural coding of inter-object relations. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667773/rec/7021


University of Ottawa

27. Zhao, Yiheng. Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems .

Degree: 2018, University of Ottawa

Object recognition systems have significant influences on modern life. Face, iris and finger point recognition applications are commonly applied for the security purposes; ASR (Automatic… (more)

Subjects/Keywords: Convolutional Neural Network; Object Detection; Object Recognition; Machine Learning

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APA (6th Edition):

Zhao, Y. (2018). Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/37978

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):

Zhao, Yiheng. “Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems .” 2018. Thesis, University of Ottawa. Accessed October 30, 2020. http://hdl.handle.net/10393/37978.

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

MLA Handbook (7th Edition):

Zhao, Yiheng. “Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems .” 2018. Web. 30 Oct 2020.

Vancouver:

Zhao Y. Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10393/37978.

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

Council of Science Editors:

Zhao Y. Towards the Design of Neural Network Framework for Object Recognition and Target Region Refining for Smart Transportation Systems . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/37978

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


University of Guelph

28. Stiver, Mikaela. An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems.

Degree: MS, Department of Psychology, 2016, University of Guelph

 Consolidated memories may become destabilized during reactivation, resulting in a transient state of instability, presumably for updating or maintenance. Resilient engrams, such as remote memories,… (more)

Subjects/Keywords: object memory; destabilization; cholinergic; ubiquitin proteasome system; spontaneous object recognition

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APA (6th Edition):

Stiver, M. (2016). An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9823

Chicago Manual of Style (16th Edition):

Stiver, Mikaela. “An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems.” 2016. Masters Thesis, University of Guelph. Accessed October 30, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9823.

MLA Handbook (7th Edition):

Stiver, Mikaela. “An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems.” 2016. Web. 30 Oct 2020.

Vancouver:

Stiver M. An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems. [Internet] [Masters thesis]. University of Guelph; 2016. [cited 2020 Oct 30]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9823.

Council of Science Editors:

Stiver M. An Exploration of the Mechanisms of Object Memory Destabilization: Involvement of the Cholinergic and Ubiquitin Proteasome Systems. [Masters Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9823


University of Guelph

29. Creighton, Samantha. Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition".

Degree: MS, Department of Psychology, 2016, University of Guelph

Object recognition not a unitary process, and there are many uncharacterized facets of object processing that have relevance to Alzheimer’s disease (AD). To elucidate the… (more)

Subjects/Keywords: Object processing; Object recognition; Alzheimer's disease; 5xFAD; 3xTG

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APA (6th Edition):

Creighton, S. (2016). Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition". (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9952

Chicago Manual of Style (16th Edition):

Creighton, Samantha. “Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition".” 2016. Masters Thesis, University of Guelph. Accessed October 30, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9952.

MLA Handbook (7th Edition):

Creighton, Samantha. “Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition".” 2016. Web. 30 Oct 2020.

Vancouver:

Creighton S. Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition". [Internet] [Masters thesis]. University of Guelph; 2016. [cited 2020 Oct 30]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9952.

Council of Science Editors:

Creighton S. Disturbed Object Processing in 5xFAD and 3xTG Mouse Models of Alzheimer's Disease: Going Beyond "Object Recognition". [Masters Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9952


Queen Mary, University of London

30. Shi, Zhiyuan. Weakly supervised learning of objects and attributes.

Degree: PhD, 2016, Queen Mary, University of London

 This thesis presents weakly supervised learning approaches to directly exploit image-level tags (e.g. objects, attributes) for comprehensive image understanding, including tasks such as object localisation,… (more)

Subjects/Keywords: Electronic Engineering and Computer Science; object detection; Object Recognition

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APA (6th Edition):

Shi, Z. (2016). Weakly supervised learning of objects and attributes. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/12922 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775276

Chicago Manual of Style (16th Edition):

Shi, Zhiyuan. “Weakly supervised learning of objects and attributes.” 2016. Doctoral Dissertation, Queen Mary, University of London. Accessed October 30, 2020. http://qmro.qmul.ac.uk/xmlui/handle/123456789/12922 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775276.

MLA Handbook (7th Edition):

Shi, Zhiyuan. “Weakly supervised learning of objects and attributes.” 2016. Web. 30 Oct 2020.

Vancouver:

Shi Z. Weakly supervised learning of objects and attributes. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2016. [cited 2020 Oct 30]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/12922 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775276.

Council of Science Editors:

Shi Z. Weakly supervised learning of objects and attributes. [Doctoral Dissertation]. Queen Mary, University of London; 2016. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/12922 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775276

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