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You searched for subject:( image recognition). Showing records 1 – 30 of 1092 total matches.

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University of Cape Town

1. Milborrow, Stephen. Multiview active shape models with SIFT descriptors.

Degree: Image, Electrical Engineering, 2016, University of Cape Town

 This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form… (more)

Subjects/Keywords: Electrical Engineering; image recognition; facial recognition

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

APA (6th Edition):

Milborrow, S. (2016). Multiview active shape models with SIFT descriptors. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/22867

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

Chicago Manual of Style (16th Edition):

Milborrow, Stephen. “Multiview active shape models with SIFT descriptors.” 2016. Thesis, University of Cape Town. Accessed September 19, 2020. http://hdl.handle.net/11427/22867.

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

MLA Handbook (7th Edition):

Milborrow, Stephen. “Multiview active shape models with SIFT descriptors.” 2016. Web. 19 Sep 2020.

Vancouver:

Milborrow S. Multiview active shape models with SIFT descriptors. [Internet] [Thesis]. University of Cape Town; 2016. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11427/22867.

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

Council of Science Editors:

Milborrow S. Multiview active shape models with SIFT descriptors. [Thesis]. University of Cape Town; 2016. Available from: http://hdl.handle.net/11427/22867

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


Texas A&M University

2. Landivar, Micaela Amanda. A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data.

Degree: MS, Aerospace Engineering, 2015, Texas A&M University

 This thesis presents a neuron model and framework for the architecture and interaction of neurons in order to accomplish two tasks, 1) data matching, and… (more)

Subjects/Keywords: Image Recognition; Matching; Fast Learning

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APA (6th Edition):

Landivar, M. A. (2015). A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174188

Chicago Manual of Style (16th Edition):

Landivar, Micaela Amanda. “A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data.” 2015. Masters Thesis, Texas A&M University. Accessed September 19, 2020. http://hdl.handle.net/1969.1/174188.

MLA Handbook (7th Edition):

Landivar, Micaela Amanda. “A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data.” 2015. Web. 19 Sep 2020.

Vancouver:

Landivar MA. A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1969.1/174188.

Council of Science Editors:

Landivar MA. A Biologically Based Spatio-Temporal Framework for the Matching and Encoding of Data. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/174188


University of Saskatchewan

3. Yu, Zexi 1989-. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.

Degree: 2016, University of Saskatchewan

 Positron emission tomography (PET)-Computed tomography (CT) plays an important role in cancer management. As a multi-modal imaging technique it provides both functional and anatomical information… (more)

Subjects/Keywords: Pattern Recognition; Medical Image Processing

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APA (6th Edition):

Yu, Z. 1. (2016). Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7624

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):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Thesis, University of Saskatchewan. Accessed September 19, 2020. http://hdl.handle.net/10388/7624.

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

MLA Handbook (7th Edition):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Web. 19 Sep 2020.

Vancouver:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10388/7624.

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

Council of Science Editors:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7624

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


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 September 19, 2020. http://hdl.handle.net/1957/16869.

MLA Handbook (7th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Web. 19 Sep 2020.

Vancouver:

Liu T. Region based image matching for 3D object recognition. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2020 Sep 19]. 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


Loughborough University

5. Adam, Mohamad Z. Unfamiliar facial identity registration and recognition performance enhancement.

Degree: PhD, 2013, Loughborough University

 The work in this thesis aims at studying the problems related to the robustness of a face recognition system where specific attention is given to… (more)

Subjects/Keywords: 006.4; Pattern recognition; Image understanding

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APA (6th Edition):

Adam, M. Z. (2013). Unfamiliar facial identity registration and recognition performance enhancement. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/11431

Chicago Manual of Style (16th Edition):

Adam, Mohamad Z. “Unfamiliar facial identity registration and recognition performance enhancement.” 2013. Doctoral Dissertation, Loughborough University. Accessed September 19, 2020. http://hdl.handle.net/2134/11431.

MLA Handbook (7th Edition):

Adam, Mohamad Z. “Unfamiliar facial identity registration and recognition performance enhancement.” 2013. Web. 19 Sep 2020.

Vancouver:

Adam MZ. Unfamiliar facial identity registration and recognition performance enhancement. [Internet] [Doctoral dissertation]. Loughborough University; 2013. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2134/11431.

Council of Science Editors:

Adam MZ. Unfamiliar facial identity registration and recognition performance enhancement. [Doctoral Dissertation]. Loughborough University; 2013. Available from: http://hdl.handle.net/2134/11431


Portland State University

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Masters Thesis, Portland State University. Accessed September 19, 2020. https://pdxscholar.library.pdx.edu/open_access_etds/199.

MLA Handbook (7th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Web. 19 Sep 2020.

Vancouver:

Sharma K. The Link Between Image Segmentation and Image Recognition. [Internet] [Masters thesis]. Portland State University; 2012. [cited 2020 Sep 19]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/199.

Council of Science Editors:

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


Ryerson University

7. Vo, Luan. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.

Degree: 2012, Ryerson University

 This thesis applies the time-varying signal processing models to track the multifactor systematic risk in the Fama-French model. The mean reverting, random walk and random… (more)

Subjects/Keywords: Image processing  – Digital techniques; Optical pattern recognition

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APA (6th Edition):

Vo, L. (2012). Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A2178

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):

Vo, Luan. “Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.” 2012. Thesis, Ryerson University. Accessed September 19, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A2178.

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

MLA Handbook (7th Edition):

Vo, Luan. “Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.” 2012. Web. 19 Sep 2020.

Vancouver:

Vo L. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. [Internet] [Thesis]. Ryerson University; 2012. [cited 2020 Sep 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2178.

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

Council of Science Editors:

Vo L. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. [Thesis]. Ryerson University; 2012. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2178

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


University of Houston

8. Lancaster, Keith C. Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images.

Degree: PhD, Electrical Engineering, 2018, University of Houston

 Dermoscopic rules such as the ABCD and Menzies rules are employed by dermatologists to determine the likelihood that a suspicious lesion is cancerous. This dissertation… (more)

Subjects/Keywords: Image processing; Smartphone; Melanoma; Automated melanoma recognition

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APA (6th Edition):

Lancaster, K. C. (2018). Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/3137

Chicago Manual of Style (16th Edition):

Lancaster, Keith C. “Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images.” 2018. Doctoral Dissertation, University of Houston. Accessed September 19, 2020. http://hdl.handle.net/10657/3137.

MLA Handbook (7th Edition):

Lancaster, Keith C. “Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images.” 2018. Web. 19 Sep 2020.

Vancouver:

Lancaster KC. Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images. [Internet] [Doctoral dissertation]. University of Houston; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10657/3137.

Council of Science Editors:

Lancaster KC. Asymmetry Measures for Automated Melanoma Detection in Dermoscopic Images. [Doctoral Dissertation]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3137


Hong Kong University of Science and Technology

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

Degree: 2015, Hong Kong University of Science and Technology

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed September 19, 2020. http://repository.ust.hk/ir/Record/1783.1-76054 ; https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Web. 19 Sep 2020.

Vancouver:

Xu P. Pattern-aware selection and arrangement of graphic elements. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2020 Sep 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-76054 ; https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

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

Council of Science Editors:

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

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


University of Minnesota

10. 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 September 19, 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. 19 Sep 2020.

Vancouver:

Fehr DA. Covariance based point cloud descriptors for object detection and classification. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Sep 19]. 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

11. 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 (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 September 19, 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. 19 Sep 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 Sep 19]. 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


Penn State University

12. Pezeshk, Aria. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.

Degree: 2011, Penn State University

 Topographic maps are one the best and most abundant sources of geographic information. In most countries these maps are prepared by dedicated national organizations and… (more)

Subjects/Keywords: image processing; document recognition; mathematical morphology; text recognition

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APA (6th Edition):

Pezeshk, A. (2011). FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12051

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):

Pezeshk, Aria. “FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.” 2011. Thesis, Penn State University. Accessed September 19, 2020. https://submit-etda.libraries.psu.edu/catalog/12051.

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

MLA Handbook (7th Edition):

Pezeshk, Aria. “FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.” 2011. Web. 19 Sep 2020.

Vancouver:

Pezeshk A. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Sep 19]. Available from: https://submit-etda.libraries.psu.edu/catalog/12051.

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

Council of Science Editors:

Pezeshk A. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12051

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


Deakin University

13. Zhang, Xin. Sparse representation for face images.

Degree: School of Information Technology, 2016, Deakin University

 This thesis address issues for face recognition with multi-view face images. Several effective methods are proposed and compared with current state of the art. A… (more)

Subjects/Keywords: Face recognition software; Computing; Image processing; Pattern recognition; Biometrics; surveillance systems

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APA (6th Edition):

Zhang, X. (2016). Sparse representation for face images. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30089360

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

Chicago Manual of Style (16th Edition):

Zhang, Xin. “Sparse representation for face images.” 2016. Thesis, Deakin University. Accessed September 19, 2020. http://hdl.handle.net/10536/DRO/DU:30089360.

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

MLA Handbook (7th Edition):

Zhang, Xin. “Sparse representation for face images.” 2016. Web. 19 Sep 2020.

Vancouver:

Zhang X. Sparse representation for face images. [Internet] [Thesis]. Deakin University; 2016. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10536/DRO/DU:30089360.

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

Council of Science Editors:

Zhang X. Sparse representation for face images. [Thesis]. Deakin University; 2016. Available from: http://hdl.handle.net/10536/DRO/DU:30089360

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


Queen Mary, University of London

14. Fu, Yanwei. Attribute learning for image/video understanding.

Degree: PhD, 2015, Queen Mary, University of London

 For the past decade computer vision research has achieved increasing success in visual recognition including object detection and video classification. Nevertheless, these achievements still cannot… (more)

Subjects/Keywords: 621.39; Electronic Engineering; Video understanding; Visual recognition; Computer vision; Image recognition

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APA (6th Edition):

Fu, Y. (2015). Attribute learning for image/video understanding. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/8920 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667425

Chicago Manual of Style (16th Edition):

Fu, Yanwei. “Attribute learning for image/video understanding.” 2015. Doctoral Dissertation, Queen Mary, University of London. Accessed September 19, 2020. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8920 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667425.

MLA Handbook (7th Edition):

Fu, Yanwei. “Attribute learning for image/video understanding.” 2015. Web. 19 Sep 2020.

Vancouver:

Fu Y. Attribute learning for image/video understanding. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2015. [cited 2020 Sep 19]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8920 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667425.

Council of Science Editors:

Fu Y. Attribute learning for image/video understanding. [Doctoral Dissertation]. Queen Mary, University of London; 2015. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8920 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667425


New Jersey Institute of Technology

15. Liu, Zhiming. Face recognition using multiple features in different color spaces.

Degree: PhD, Computer Science, 2011, New Jersey Institute of Technology

  Face recognition as a particular problem of pattern recognition has been attracting substantial attention from researchers in computer vision, pattern recognition, and machine learning.… (more)

Subjects/Keywords: Computer vision; Face recognition; Pattern recognition; Image processing; Computer Sciences

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

APA (6th Edition):

Liu, Z. (2011). Face recognition using multiple features in different color spaces. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/240

Chicago Manual of Style (16th Edition):

Liu, Zhiming. “Face recognition using multiple features in different color spaces.” 2011. Doctoral Dissertation, New Jersey Institute of Technology. Accessed September 19, 2020. https://digitalcommons.njit.edu/dissertations/240.

MLA Handbook (7th Edition):

Liu, Zhiming. “Face recognition using multiple features in different color spaces.” 2011. Web. 19 Sep 2020.

Vancouver:

Liu Z. Face recognition using multiple features in different color spaces. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2011. [cited 2020 Sep 19]. Available from: https://digitalcommons.njit.edu/dissertations/240.

Council of Science Editors:

Liu Z. Face recognition using multiple features in different color spaces. [Doctoral Dissertation]. New Jersey Institute of Technology; 2011. Available from: https://digitalcommons.njit.edu/dissertations/240


California State University – Sacramento

16. Estebanez, Andres Xavier. SParkSys: a smart parking system, machine learning methods for parking space occupation detection.

Degree: MS, Computer Engineering, 2020, California State University – Sacramento

 In many city centers and institutions, the issue of parking is becoming an increasingly serious one. Increasing numbers of people are flocking to cities, and… (more)

Subjects/Keywords: Convolutional Neural Network; CNN; Parking; Machine Learning; Image Recognition; Object Recognition

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APA (6th Edition):

Estebanez, A. X. (2020). SParkSys: a smart parking system, machine learning methods for parking space occupation detection. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/215199

Chicago Manual of Style (16th Edition):

Estebanez, Andres Xavier. “SParkSys: a smart parking system, machine learning methods for parking space occupation detection.” 2020. Masters Thesis, California State University – Sacramento. Accessed September 19, 2020. http://hdl.handle.net/10211.3/215199.

MLA Handbook (7th Edition):

Estebanez, Andres Xavier. “SParkSys: a smart parking system, machine learning methods for parking space occupation detection.” 2020. Web. 19 Sep 2020.

Vancouver:

Estebanez AX. SParkSys: a smart parking system, machine learning methods for parking space occupation detection. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10211.3/215199.

Council of Science Editors:

Estebanez AX. SParkSys: a smart parking system, machine learning methods for parking space occupation detection. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/215199


Virginia Tech

17. AlBahar, Badour A Sh A. Im2Vid: Future Video Prediction for Static Image Action Recognition.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

 Static image action recognition aims at identifying the action performed in a given image. Most existing static image action recognition approaches use high-level cues present… (more)

Subjects/Keywords: Human Action Recognition; Static Image Action Recognition; Video Action Recognition; Future Video Prediction

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

APA (6th Edition):

AlBahar, B. A. S. A. (2018). Im2Vid: Future Video Prediction for Static Image Action Recognition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83602

Chicago Manual of Style (16th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Masters Thesis, Virginia Tech. Accessed September 19, 2020. http://hdl.handle.net/10919/83602.

MLA Handbook (7th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Web. 19 Sep 2020.

Vancouver:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10919/83602.

Council of Science Editors:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83602


University of California – Irvine

18. Balakrishna, Shonali. Event Recognition in Photo Streams.

Degree: Information and Computer Science, 2016, University of California – Irvine

 Visual information is now an increasingly important part of the data ecosystem. While photos are captured and shared widely over the internet, methods for image(more)

Subjects/Keywords: Computer science; Clustering; Event Recognition; Image Organization; Image Search; Probabilistic Learning

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APA (6th Edition):

Balakrishna, S. (2016). Event Recognition in Photo Streams. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9bv1156r

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):

Balakrishna, Shonali. “Event Recognition in Photo Streams.” 2016. Thesis, University of California – Irvine. Accessed September 19, 2020. http://www.escholarship.org/uc/item/9bv1156r.

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

MLA Handbook (7th Edition):

Balakrishna, Shonali. “Event Recognition in Photo Streams.” 2016. Web. 19 Sep 2020.

Vancouver:

Balakrishna S. Event Recognition in Photo Streams. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2020 Sep 19]. Available from: http://www.escholarship.org/uc/item/9bv1156r.

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

Council of Science Editors:

Balakrishna S. Event Recognition in Photo Streams. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/9bv1156r

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


Hong Kong University of Science and Technology

19. Zhou, Lei CSE. Visual matching for robust and accurate localization and mapping.

Degree: 2019, Hong Kong University of Science and Technology

 An essential component of localization and mapping is visual matching which associates individual 2D and 3D observations of the same local structures in a real-world… (more)

Subjects/Keywords: Image registration ; Image processing ; Data processing ; Pattern recognition systems

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

APA (6th Edition):

Zhou, L. C. (2019). Visual matching for robust and accurate localization and mapping. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-103995 ; https://doi.org/10.14711/thesis-991012786067303412 ; http://repository.ust.hk/ir/bitstream/1783.1-103995/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Zhou, Lei CSE. “Visual matching for robust and accurate localization and mapping.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed September 19, 2020. http://repository.ust.hk/ir/Record/1783.1-103995 ; https://doi.org/10.14711/thesis-991012786067303412 ; http://repository.ust.hk/ir/bitstream/1783.1-103995/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhou, Lei CSE. “Visual matching for robust and accurate localization and mapping.” 2019. Web. 19 Sep 2020.

Vancouver:

Zhou LC. Visual matching for robust and accurate localization and mapping. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2020 Sep 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-103995 ; https://doi.org/10.14711/thesis-991012786067303412 ; http://repository.ust.hk/ir/bitstream/1783.1-103995/1/th_redirect.html.

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

Council of Science Editors:

Zhou LC. Visual matching for robust and accurate localization and mapping. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-103995 ; https://doi.org/10.14711/thesis-991012786067303412 ; http://repository.ust.hk/ir/bitstream/1783.1-103995/1/th_redirect.html

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


Vanderbilt University

20. Bozic, Ivan. Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography.

Degree: MS, Biomedical Engineering, 2018, Vanderbilt University

 The zebrafish is a robust model for studying human ophthalmic function and disease because of its fecundity, life-cycle, and similarities between its retinal structure and… (more)

Subjects/Keywords: Optical coherence tomography; Pattern recognition; Image analysis; Digital image processing

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

APA (6th Edition):

Bozic, I. (2018). Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11984

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):

Bozic, Ivan. “Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography.” 2018. Thesis, Vanderbilt University. Accessed September 19, 2020. http://hdl.handle.net/1803/11984.

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

MLA Handbook (7th Edition):

Bozic, Ivan. “Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography.” 2018. Web. 19 Sep 2020.

Vancouver:

Bozic I. Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography. [Internet] [Thesis]. Vanderbilt University; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1803/11984.

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

Council of Science Editors:

Bozic I. Quantitative biometry of zebrafish retinal vasculature using optical coherence tomographic angiography. [Thesis]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/11984

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


Virginia Tech

21. Ostergaard, Lindsey Eubank. Automatic Detection and Characterization of Parasite Eggs by Image Processing.

Degree: MS, Mechanical Engineering, 2013, Virginia Tech

 The accurate identification of parasites allows for the quick diagnosis and treatment of infections. Current state-of-the-art identification techniques require a trained technician to examine prepared… (more)

Subjects/Keywords: Parasite; Parasite Eggs; Image Processing; Parasite egg recognition; Characterization; Microscopic Image

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

APA (6th Edition):

Ostergaard, L. E. (2013). Automatic Detection and Characterization of Parasite Eggs by Image Processing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51856

Chicago Manual of Style (16th Edition):

Ostergaard, Lindsey Eubank. “Automatic Detection and Characterization of Parasite Eggs by Image Processing.” 2013. Masters Thesis, Virginia Tech. Accessed September 19, 2020. http://hdl.handle.net/10919/51856.

MLA Handbook (7th Edition):

Ostergaard, Lindsey Eubank. “Automatic Detection and Characterization of Parasite Eggs by Image Processing.” 2013. Web. 19 Sep 2020.

Vancouver:

Ostergaard LE. Automatic Detection and Characterization of Parasite Eggs by Image Processing. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10919/51856.

Council of Science Editors:

Ostergaard LE. Automatic Detection and Characterization of Parasite Eggs by Image Processing. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51856


Brunel University

22. Kounalakis, Tsampikos. Depth-adaptive methodologies for 3D image caregorization.

Degree: PhD, 2015, Brunel University

Image classification is an active topic of computer vision research. This topic deals with the learning of patterns in order to allow efficient classification of… (more)

Subjects/Keywords: 006.3; 3D imaging; Image classification; Object recognition; Image representation; Deep learning

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

APA (6th Edition):

Kounalakis, T. (2015). Depth-adaptive methodologies for 3D image caregorization. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124

Chicago Manual of Style (16th Edition):

Kounalakis, Tsampikos. “Depth-adaptive methodologies for 3D image caregorization.” 2015. Doctoral Dissertation, Brunel University. Accessed September 19, 2020. http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124.

MLA Handbook (7th Edition):

Kounalakis, Tsampikos. “Depth-adaptive methodologies for 3D image caregorization.” 2015. Web. 19 Sep 2020.

Vancouver:

Kounalakis T. Depth-adaptive methodologies for 3D image caregorization. [Internet] [Doctoral dissertation]. Brunel University; 2015. [cited 2020 Sep 19]. Available from: http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124.

Council of Science Editors:

Kounalakis T. Depth-adaptive methodologies for 3D image caregorization. [Doctoral Dissertation]. Brunel University; 2015. Available from: http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124


Uppsala University

23. Brennan, Michael. Comparison of automated feature extraction methods for image based screening of cancer cells.

Degree: Information Technology, 2012, Uppsala University

Image based screening is an important tool used in research for development of drugs to fight cancer. Phase contrast video microscopy - a cheap… (more)

Subjects/Keywords: image screening; pattern recognition; cancer; microscopy; image analysis

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

APA (6th Edition):

Brennan, M. (2012). Comparison of automated feature extraction methods for image based screening of cancer cells. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-167602

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):

Brennan, Michael. “Comparison of automated feature extraction methods for image based screening of cancer cells.” 2012. Thesis, Uppsala University. Accessed September 19, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-167602.

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

MLA Handbook (7th Edition):

Brennan, Michael. “Comparison of automated feature extraction methods for image based screening of cancer cells.” 2012. Web. 19 Sep 2020.

Vancouver:

Brennan M. Comparison of automated feature extraction methods for image based screening of cancer cells. [Internet] [Thesis]. Uppsala University; 2012. [cited 2020 Sep 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-167602.

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

Council of Science Editors:

Brennan M. Comparison of automated feature extraction methods for image based screening of cancer cells. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-167602

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


Georgia Tech

24. Kang, Jinwoo. Face recognition for vehicle personalization.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this dissertation is to develop a system of practical technologies to implement an illumination robust, consumer grade biometric system based on face… (more)

Subjects/Keywords: Face recognition; Face detection; Near infrared; Image alignment; Image fusion

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

APA (6th Edition):

Kang, J. (2016). Face recognition for vehicle personalization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56260

Chicago Manual of Style (16th Edition):

Kang, Jinwoo. “Face recognition for vehicle personalization.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 19, 2020. http://hdl.handle.net/1853/56260.

MLA Handbook (7th Edition):

Kang, Jinwoo. “Face recognition for vehicle personalization.” 2016. Web. 19 Sep 2020.

Vancouver:

Kang J. Face recognition for vehicle personalization. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1853/56260.

Council of Science Editors:

Kang J. Face recognition for vehicle personalization. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56260


University of Tennessee – Knoxville

25. Ragland, Timothy Wayne. Automated Visual Monitoring of Machining Equipment.

Degree: MS, Computer Engineering, 2011, University of Tennessee – Knoxville

  Metalworking equipment is designed to modify a sheet, rod, or block of metal material in order to shape it for a specific application. This… (more)

Subjects/Keywords: image processing; image segmentation; object recognition; visual monitoring; Other Computer Engineering

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APA (6th Edition):

Ragland, T. W. (2011). Automated Visual Monitoring of Machining Equipment. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/1094

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):

Ragland, Timothy Wayne. “Automated Visual Monitoring of Machining Equipment.” 2011. Thesis, University of Tennessee – Knoxville. Accessed September 19, 2020. https://trace.tennessee.edu/utk_gradthes/1094.

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

MLA Handbook (7th Edition):

Ragland, Timothy Wayne. “Automated Visual Monitoring of Machining Equipment.” 2011. Web. 19 Sep 2020.

Vancouver:

Ragland TW. Automated Visual Monitoring of Machining Equipment. [Internet] [Thesis]. University of Tennessee – Knoxville; 2011. [cited 2020 Sep 19]. Available from: https://trace.tennessee.edu/utk_gradthes/1094.

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

Council of Science Editors:

Ragland TW. Automated Visual Monitoring of Machining Equipment. [Thesis]. University of Tennessee – Knoxville; 2011. Available from: https://trace.tennessee.edu/utk_gradthes/1094

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


University of Waterloo

26. Zhang, Yibo (Bob). Retinal Image Analysis and its use in Medical Applications.

Degree: 2011, University of Waterloo

 Retina located in the back of the eye is not only a vital part of human sight, but also contains valuable information that can be… (more)

Subjects/Keywords: Image Processing and Analysis; Pattern Analysis and Recognition; Retinal Image Analysis

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

APA (6th Edition):

Zhang, Y. (. (2011). Retinal Image Analysis and its use in Medical Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5860

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

Chicago Manual of Style (16th Edition):

Zhang, Yibo (Bob). “Retinal Image Analysis and its use in Medical Applications.” 2011. Thesis, University of Waterloo. Accessed September 19, 2020. http://hdl.handle.net/10012/5860.

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

MLA Handbook (7th Edition):

Zhang, Yibo (Bob). “Retinal Image Analysis and its use in Medical Applications.” 2011. Web. 19 Sep 2020.

Vancouver:

Zhang Y(. Retinal Image Analysis and its use in Medical Applications. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10012/5860.

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

Council of Science Editors:

Zhang Y(. Retinal Image Analysis and its use in Medical Applications. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5860

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


University of Notre Dame

27. Joel Robert Gray Brogan. Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>.

Degree: Computer Science and Engineering, 2019, University of Notre Dame

  The internet is a vast and rapidly changing landscape. For every new algorithm invented to increase the security and reliability of our society, an… (more)

Subjects/Keywords: ReIdentification; Machine Learning; Image Phylogeny; Image Retrieval; Image Forensics; Meme Analysis; Image Provenance; Computer Vision; Biometrics; Facial Recognition

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APA (6th Edition):

Brogan, J. R. G. (2019). Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/2v23vt17r9s

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):

Brogan, Joel Robert Gray. “Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>.” 2019. Thesis, University of Notre Dame. Accessed September 19, 2020. https://curate.nd.edu/show/2v23vt17r9s.

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

MLA Handbook (7th Edition):

Brogan, Joel Robert Gray. “Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>.” 2019. Web. 19 Sep 2020.

Vancouver:

Brogan JRG. Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>. [Internet] [Thesis]. University of Notre Dame; 2019. [cited 2020 Sep 19]. Available from: https://curate.nd.edu/show/2v23vt17r9s.

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

Council of Science Editors:

Brogan JRG. Advancing Biometrics and Image Forensics Through Vision and Learning Systems</h1>. [Thesis]. University of Notre Dame; 2019. Available from: https://curate.nd.edu/show/2v23vt17r9s

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

28. Tensmeyer, Christopher Alan. Deep Learning for Document Image Analysis.

Degree: PhD, 2019, Brigham Young University

 Automatic machine understanding of documents from image inputs enables many applications in modern document workflows, digital archives of historical documents, and general machine intelligence, among… (more)

Subjects/Keywords: document image analysis; deep learning; binarization; document classification; font recognition; handwriting recognition

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

APA (6th Edition):

Tensmeyer, C. A. (2019). Deep Learning for Document Image Analysis. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd

Chicago Manual of Style (16th Edition):

Tensmeyer, Christopher Alan. “Deep Learning for Document Image Analysis.” 2019. Doctoral Dissertation, Brigham Young University. Accessed September 19, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd.

MLA Handbook (7th Edition):

Tensmeyer, Christopher Alan. “Deep Learning for Document Image Analysis.” 2019. Web. 19 Sep 2020.

Vancouver:

Tensmeyer CA. Deep Learning for Document Image Analysis. [Internet] [Doctoral dissertation]. Brigham Young University; 2019. [cited 2020 Sep 19]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd.

Council of Science Editors:

Tensmeyer CA. Deep Learning for Document Image Analysis. [Doctoral Dissertation]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd


University of Sydney

29. Yu, Kaimin. Towards Realistic Facial Expression Recognition .

Degree: 2013, University of Sydney

 Automatic facial expression recognition has attracted significant attention over the past decades. Although substantial progress has been achieved for certain scenarios (such as frontal faces… (more)

Subjects/Keywords: Facial expression recognition; pattern recognition; machine learning; feature extraction; image classification; facial expression dataset

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

APA (6th Edition):

Yu, K. (2013). Towards Realistic Facial Expression Recognition . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9459

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):

Yu, Kaimin. “Towards Realistic Facial Expression Recognition .” 2013. Thesis, University of Sydney. Accessed September 19, 2020. http://hdl.handle.net/2123/9459.

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

MLA Handbook (7th Edition):

Yu, Kaimin. “Towards Realistic Facial Expression Recognition .” 2013. Web. 19 Sep 2020.

Vancouver:

Yu K. Towards Realistic Facial Expression Recognition . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2123/9459.

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

Council of Science Editors:

Yu K. Towards Realistic Facial Expression Recognition . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9459

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


Florida Atlantic University

30. Rashford, Stacey. How the Spatial Organization of Objects Affects Perceptual Processing of a Scene.

Degree: MS, 2015, Florida Atlantic University

Summary: How does spatial organization of objects affect the perceptual processing of a scene? Surprisingly, little research has explored this topic. A few studies have… (more)

Subjects/Keywords: Image analysis; Optical pattern recognition; Pattern recognition systems; Phenomenological psychology; Visual perception

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

APA (6th Edition):

Rashford, S. (2015). How the Spatial Organization of Objects Affects Perceptual Processing of a Scene. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004537 ; (URL) http://purl.flvc.org/fau/fd/FA00004537

Chicago Manual of Style (16th Edition):

Rashford, Stacey. “How the Spatial Organization of Objects Affects Perceptual Processing of a Scene.” 2015. Masters Thesis, Florida Atlantic University. Accessed September 19, 2020. http://purl.flvc.org/fau/fd/FA00004537 ; (URL) http://purl.flvc.org/fau/fd/FA00004537.

MLA Handbook (7th Edition):

Rashford, Stacey. “How the Spatial Organization of Objects Affects Perceptual Processing of a Scene.” 2015. Web. 19 Sep 2020.

Vancouver:

Rashford S. How the Spatial Organization of Objects Affects Perceptual Processing of a Scene. [Internet] [Masters thesis]. Florida Atlantic University; 2015. [cited 2020 Sep 19]. Available from: http://purl.flvc.org/fau/fd/FA00004537 ; (URL) http://purl.flvc.org/fau/fd/FA00004537.

Council of Science Editors:

Rashford S. How the Spatial Organization of Objects Affects Perceptual Processing of a Scene. [Masters Thesis]. Florida Atlantic University; 2015. Available from: http://purl.flvc.org/fau/fd/FA00004537 ; (URL) http://purl.flvc.org/fau/fd/FA00004537

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