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You searched for subject:(Object recognition). Showing records 1 – 30 of 498 total matches.

[1] [2] [3] [4] [5] … [17]

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Universitat Rovira i Virgili

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

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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Amezquita Gómez N. A probabilistic integrated object recognition and tracking framework for video sequences. [Internet] [Thesis]. Universitat Rovira i Virgili; 2009. [cited 2019 Apr 22]. 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


University of Texas – Austin

2. Hwang, Sung Ju. Reading between the lines : object localization using implicit cues from image tags.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the… (more)

Subjects/Keywords: Computer vision; Object recognition; Object detection

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APA (6th Edition):

Hwang, S. J. (2010). Reading between the lines : object localization using implicit cues from image tags. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-1514

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):

Hwang, Sung Ju. “Reading between the lines : object localization using implicit cues from image tags.” 2010. Thesis, University of Texas – Austin. Accessed April 22, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-1514.

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

MLA Handbook (7th Edition):

Hwang, Sung Ju. “Reading between the lines : object localization using implicit cues from image tags.” 2010. Web. 22 Apr 2019.

Vancouver:

Hwang SJ. Reading between the lines : object localization using implicit cues from image tags. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1514.

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

Council of Science Editors:

Hwang SJ. Reading between the lines : object localization using implicit cues from image tags. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1514

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


University of Georgia

3. Leighty, Katherine Anne. Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children.

Degree: PhD, Psychology, 2005, University of Georgia

Object recognition research is typically conducted with 2D stimuli in lieu of 3D objects. This study investigated the amount and complexity of knowledge gained from… (more)

Subjects/Keywords: Object recognition

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APA (6th Edition):

Leighty, K. A. (2005). Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/leighty_katherine_a_200505_phd

Chicago Manual of Style (16th Edition):

Leighty, Katherine Anne. “Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children.” 2005. Doctoral Dissertation, University of Georgia. Accessed April 22, 2019. http://purl.galileo.usg.edu/uga_etd/leighty_katherine_a_200505_phd.

MLA Handbook (7th Edition):

Leighty, Katherine Anne. “Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children.” 2005. Web. 22 Apr 2019.

Vancouver:

Leighty KA. Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children. [Internet] [Doctoral dissertation]. University of Georgia; 2005. [cited 2019 Apr 22]. Available from: http://purl.galileo.usg.edu/uga_etd/leighty_katherine_a_200505_phd.

Council of Science Editors:

Leighty KA. Cross-dimensional object recognition in chimpanzees (Pan troglodytes) and young children. [Doctoral Dissertation]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/leighty_katherine_a_200505_phd


Victoria University of Wellington

4. 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 April 22, 2019. 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. 22 Apr 2019.

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 2019 Apr 22]. 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


Queens University

5. Shang, Limin. Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding .

Degree: Electrical & Computer Engineering, 2010, Queens University

 In this work we address the problem of object recognition and localization from sparse range data. The method is based upon comparing the 7-D error… (more)

Subjects/Keywords: object recognition; range image

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APA (6th Edition):

Shang, L. (2010). Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/5399

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):

Shang, Limin. “Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding .” 2010. Thesis, Queens University. Accessed April 22, 2019. http://hdl.handle.net/1974/5399.

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

MLA Handbook (7th Edition):

Shang, Limin. “Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding .” 2010. Web. 22 Apr 2019.

Vancouver:

Shang L. Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding . [Internet] [Thesis]. Queens University; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1974/5399.

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

Council of Science Editors:

Shang L. Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding . [Thesis]. Queens University; 2010. Available from: http://hdl.handle.net/1974/5399

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


Queens University

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

Degree: Electrical & 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Lam J. Object Recognition by Registration of Repeatable 3D Interest Segments . [Internet] [Thesis]. Queens University; 2015. [cited 2019 Apr 22]. 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

7. 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 April 22, 2019. http://hdl.handle.net/1807/33384.

MLA Handbook (7th Edition):

Chua, Jeroen. “Learning Patch-based Structural Element Models with Hierarchical Palettes.” 2012. Web. 22 Apr 2019.

Vancouver:

Chua J. Learning Patch-based Structural Element Models with Hierarchical Palettes. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2019 Apr 22]. 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


University of Victoria

8. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Hagen S. The influence of real-world object expertise on visual discrimination mechanisms. [Internet] [Thesis]. University of Victoria; 2018. [cited 2019 Apr 22]. 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


McGill University

9. Arbel, Tal. Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps.

Degree: PhD, Department of Electrical Engineering, 1999, McGill University

This thesis introduces a novel method for sequentially accumulating evidence as it pertains to an active observer seeking to identify an object in a known… (more)

Subjects/Keywords: Object recognition

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APA (6th Edition):

Arbel, T. (1999). Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps. (Doctoral Dissertation). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile150509.pdf

Chicago Manual of Style (16th Edition):

Arbel, Tal. “Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps.” 1999. Doctoral Dissertation, McGill University. Accessed April 22, 2019. http://digitool.library.mcgill.ca/thesisfile150509.pdf.

MLA Handbook (7th Edition):

Arbel, Tal. “Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps.” 1999. Web. 22 Apr 2019.

Vancouver:

Arbel T. Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps. [Internet] [Doctoral dissertation]. McGill University; 1999. [cited 2019 Apr 22]. Available from: http://digitool.library.mcgill.ca/thesisfile150509.pdf.

Council of Science Editors:

Arbel T. Active Object Recognition Conditioned by Probabalistic Evidence and Entropy Maps. [Doctoral Dissertation]. McGill University; 1999. Available from: http://digitool.library.mcgill.ca/thesisfile150509.pdf


Oregon State University

10. 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 April 22, 2019. http://hdl.handle.net/1957/16869.

MLA Handbook (7th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Web. 22 Apr 2019.

Vancouver:

Liu T. Region based image matching for 3D object recognition. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Apr 22]. 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

11. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Govender N. Active object recognition for 2D and 3D applications. [Internet] [Thesis]. University of Cape Town; 2015. [cited 2019 Apr 22]. 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


University of Toronto

12. Jamieson, Michael. Learning Language-vision Correspondences.

Degree: 2010, University of Toronto

Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances… (more)

Subjects/Keywords: image annotation; object recognition; 0984

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APA (6th Edition):

Jamieson, M. (2010). Learning Language-vision Correspondences. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/26192

Chicago Manual of Style (16th Edition):

Jamieson, Michael. “Learning Language-vision Correspondences.” 2010. Doctoral Dissertation, University of Toronto. Accessed April 22, 2019. http://hdl.handle.net/1807/26192.

MLA Handbook (7th Edition):

Jamieson, Michael. “Learning Language-vision Correspondences.” 2010. Web. 22 Apr 2019.

Vancouver:

Jamieson M. Learning Language-vision Correspondences. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1807/26192.

Council of Science Editors:

Jamieson M. Learning Language-vision Correspondences. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/26192


Virginia Tech

13. 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 April 22, 2019. http://hdl.handle.net/10919/78079.

MLA Handbook (7th Edition):

Brown, James Michael. “Perceived Size Modulates Cortical Processing of Objects.” 2015. Web. 22 Apr 2019.

Vancouver:

Brown JM. Perceived Size Modulates Cortical Processing of Objects. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Apr 22]. 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


University of Bath

14. 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://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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Corradi T. Integrating visual and tactile robotic perception. [Internet] [Doctoral dissertation]. University of Bath; 2018. [cited 2019 Apr 22]. Available from: 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://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761005


Oregon State University

15. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 22]. 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 Victoria

16. 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 April 22, 2019. 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. 22 Apr 2019.

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 2019 Apr 22]. 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


University of Manitoba

17. 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 April 22, 2019. http://hdl.handle.net/1993/31806.

MLA Handbook (7th Edition):

Naha, Shujon. “Zero-shot Learning for Visual Recognition Problems.” 2015. Web. 22 Apr 2019.

Vancouver:

Naha S. Zero-shot Learning for Visual Recognition Problems. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2019 Apr 22]. 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 South Carolina

18. Blackmon, William Lewis. Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats.

Degree: MA, Psychology, 2010, University of South Carolina

  One-trial object recognition (OR) is a popular paradigm for conducting stress-free studies of rodent recognition memory. Rodents' response to novelty depends upon complex interactions… (more)

Subjects/Keywords: Psychology; Social and Behavioral Sciences; adolescence; novel object recognition task; novelty; object recognition; one-trial object recognition; sexual dimorphism

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APA (6th Edition):

Blackmon, W. L. (2010). Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/138

Chicago Manual of Style (16th Edition):

Blackmon, William Lewis. “Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats.” 2010. Masters Thesis, University of South Carolina. Accessed April 22, 2019. https://scholarcommons.sc.edu/etd/138.

MLA Handbook (7th Edition):

Blackmon, William Lewis. “Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats.” 2010. Web. 22 Apr 2019.

Vancouver:

Blackmon WL. Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats. [Internet] [Masters thesis]. University of South Carolina; 2010. [cited 2019 Apr 22]. Available from: https://scholarcommons.sc.edu/etd/138.

Council of Science Editors:

Blackmon WL. Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats. [Masters Thesis]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/138


University of Guelph

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

Degree: 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 . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035

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):

Melichercik, Ashley. “Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory .” 2011. Thesis, University of Guelph. Accessed April 22, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035.

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

MLA Handbook (7th Edition):

Melichercik, Ashley. “Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory .” 2011. Web. 22 Apr 2019.

Vancouver:

Melichercik A. Nicotinic Receptor Activation in Perirhinal Cortex and Hippocampus Facilitates Aspects of Object Memory . [Internet] [Thesis]. University of Guelph; 2011. [cited 2019 Apr 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3035.

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

Council of Science Editors:

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

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


California State University – Sacramento

20. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Apr 22]. 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

21. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Payet N. From shape-based object recognition and discovery to 3D scene interpretation. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2019 Apr 22]. 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

22. 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 (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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Jao RJ. The Neural Development of Visuohaptic Object Processing . [Internet] [Thesis]. Indiana University; 2015. [cited 2019 Apr 22]. 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


Universitat Autònoma de Barcelona

23. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Gonfaus JM. Towards Deep Image Understanding: From pixels to semantics. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2012. [cited 2019 Apr 22]. 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


University of Wollongong

24. 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 ; http://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 April 22, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; http://ro.uow.edu.au/theses/3469.

MLA Handbook (7th Edition):

Worth, Patricia Lee. “Object detection and classification with a CTFM ultrasonic sensor.” 2011. Web. 22 Apr 2019.

Vancouver:

Worth PL. Object detection and classification with a CTFM ultrasonic sensor. [Internet] [Masters thesis]. University of Wollongong; 2011. [cited 2019 Apr 22]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 080101 Adaptive Agents and Intelligent Robotics, 080109 Pattern Recognition and Data Mining, 090609 Signal Processing ; http://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 ; http://ro.uow.edu.au/theses/3469


Linköping University

25. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Grankvist O. Recognition and Registration of 3D Models in Depth Sensor Data. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 Apr 22]. 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


University of New South Wales

26. 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 April 22, 2019. 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. 22 Apr 2019.

Vancouver:

Morioka N. Rethinking Spatial Relations Between Local Features for Generic Object Recognition. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2019 Apr 22]. 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 Texas – Austin

27. Chen, Chao-Yeh. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

 Existing methods for image-based location estimation generally attempt to recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most… (more)

Subjects/Keywords: Location estimation; Hidden Markov Model; Object recognition

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APA (6th Edition):

Chen, C. (2010). Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2301

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):

Chen, Chao-Yeh. “Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.” 2010. Thesis, University of Texas – Austin. Accessed April 22, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2301.

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

MLA Handbook (7th Edition):

Chen, Chao-Yeh. “Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.” 2010. Web. 22 Apr 2019.

Vancouver:

Chen C. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2301.

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

Council of Science Editors:

Chen C. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2301

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


University of Minnesota

28. 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 (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 April 22, 2019. http://purl.umn.edu/158024.

MLA Handbook (7th Edition):

Fehr, Duc Alexandre. “Covariance based point cloud descriptors for object detection and classification.” 2013. Web. 22 Apr 2019.

Vancouver:

Fehr DA. Covariance based point cloud descriptors for object detection and classification. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Apr 22]. 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


University of Arizona

29. Burke, Sara Nicole. A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline .

Degree: 2009, University of Arizona

 Perirhinal cortical-dependent behavior and single-unit neuron activity in this brain region were compared between normal aged and young rats. Three different variants of the spontaneous… (more)

Subjects/Keywords: aging; hippocampus; memory; object recognition; perception

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APA (6th Edition):

Burke, S. N. (2009). A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195350

Chicago Manual of Style (16th Edition):

Burke, Sara Nicole. “A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline .” 2009. Doctoral Dissertation, University of Arizona. Accessed April 22, 2019. http://hdl.handle.net/10150/195350.

MLA Handbook (7th Edition):

Burke, Sara Nicole. “A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline .” 2009. Web. 22 Apr 2019.

Vancouver:

Burke SN. A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline . [Internet] [Doctoral dissertation]. University of Arizona; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10150/195350.

Council of Science Editors:

Burke SN. A perceptual-mnemonic role for the perirhinal cortex in age-associated cogntive decline . [Doctoral Dissertation]. University of Arizona; 2009. Available from: http://hdl.handle.net/10150/195350


Virginia Tech

30. 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 April 22, 2019. http://hdl.handle.net/10919/78167.

MLA Handbook (7th Edition):

Cogswell, Michael Andrew. “Understanding Representations and Reducing their Redundancy in Deep Networks.” 2016. Web. 22 Apr 2019.

Vancouver:

Cogswell MA. Understanding Representations and Reducing their Redundancy in Deep Networks. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Apr 22]. 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

[1] [2] [3] [4] [5] … [17]

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