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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Ma, Yi"). Showing records 1 – 9 of 9 total matches.

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University of Illinois – Urbana-Champaign

1. Balasubramanian, Arvind. Applications of low-rank matrix recovery methods in computer vision.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 The ubiquitous availability of high-dimensional data such as images and videos has generated a lot of interest in high-dimensional data analysis. One of the key… (more)

Subjects/Keywords: Image Alignment; Texture Rectification; Low-Rank Matrix Recovery; Convex Optimization; Photometric Stereo; Principal Component Pursuit

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

APA (6th Edition):

Balasubramanian, A. (2012). Applications of low-rank matrix recovery methods in computer vision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31929

Chicago Manual of Style (16th Edition):

Balasubramanian, Arvind. “Applications of low-rank matrix recovery methods in computer vision.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/31929.

MLA Handbook (7th Edition):

Balasubramanian, Arvind. “Applications of low-rank matrix recovery methods in computer vision.” 2012. Web. 18 Apr 2021.

Vancouver:

Balasubramanian A. Applications of low-rank matrix recovery methods in computer vision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/31929.

Council of Science Editors:

Balasubramanian A. Applications of low-rank matrix recovery methods in computer vision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31929


University of Illinois – Urbana-Champaign

2. Sharon, Yoav. Estimation and control with limited information and unreliable feedback.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Advancement in sensing technology is introducing new sensors that can provide information that was not available before. This creates many opportunities for the development of… (more)

Subjects/Keywords: Quantized systems; Stability of hybrid systems; Input-to-state stability (ISS); Output feedback and Observers; Disturbances; Control with communication constraints; Time delays; Robust Estimation; Compressed Sensing; Vision Based Control

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APA (6th Edition):

Sharon, Y. (2011). Estimation and control with limited information and unreliable feedback. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18507

Chicago Manual of Style (16th Edition):

Sharon, Yoav. “Estimation and control with limited information and unreliable feedback.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/18507.

MLA Handbook (7th Edition):

Sharon, Yoav. “Estimation and control with limited information and unreliable feedback.” 2011. Web. 18 Apr 2021.

Vancouver:

Sharon Y. Estimation and control with limited information and unreliable feedback. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/18507.

Council of Science Editors:

Sharon Y. Estimation and control with limited information and unreliable feedback. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18507

3. Mobahi, Hossein. Optimization by Gaussian smoothing with application to geometric alignment.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 It is well-known that global optimization of a nonconvex function, in general, is computationally intractable. Nevertheless, many objective functions that we need to optimize may… (more)

Subjects/Keywords: Nonconvex Optimization; Homotopy Continuation; Image Alignment; Point Cloud Alignment; Coarse-to-fine Optimization

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APA (6th Edition):

Mobahi, H. (2013). Optimization by Gaussian smoothing with application to geometric alignment. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42330

Chicago Manual of Style (16th Edition):

Mobahi, Hossein. “Optimization by Gaussian smoothing with application to geometric alignment.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/42330.

MLA Handbook (7th Edition):

Mobahi, Hossein. “Optimization by Gaussian smoothing with application to geometric alignment.” 2013. Web. 18 Apr 2021.

Vancouver:

Mobahi H. Optimization by Gaussian smoothing with application to geometric alignment. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/42330.

Council of Science Editors:

Mobahi H. Optimization by Gaussian smoothing with application to geometric alignment. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42330

4. Zhou, Zihan. Exploring structural regularities for robust 3D reconstruction of urban scenes.

Degree: PhD, 1200, 2013, University of Illinois – Urbana-Champaign

 Driven by emergent needs in industrial applications such as film production, navigation and virtual reality, the problem of inferring 3D structures of urban scenes from… (more)

Subjects/Keywords: 3D reconstruction; structure from motion; urban scene; structural regularity

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APA (6th Edition):

Zhou, Z. (2013). Exploring structural regularities for robust 3D reconstruction of urban scenes. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44311

Chicago Manual of Style (16th Edition):

Zhou, Zihan. “Exploring structural regularities for robust 3D reconstruction of urban scenes.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/44311.

MLA Handbook (7th Edition):

Zhou, Zihan. “Exploring structural regularities for robust 3D reconstruction of urban scenes.” 2013. Web. 18 Apr 2021.

Vancouver:

Zhou Z. Exploring structural regularities for robust 3D reconstruction of urban scenes. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/44311.

Council of Science Editors:

Zhou Z. Exploring structural regularities for robust 3D reconstruction of urban scenes. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44311


University of Illinois – Urbana-Champaign

5. Zhou, Zihan. Face recognition under varying illumination, pose and contiguous occlusion.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 This thesis considers the problem of recognizing human faces despite variations in illumination, pose and contiguous occlusion, using only frontal training images. In particular, we… (more)

Subjects/Keywords: face recognition; illumination; pose; contiguous occlusion; patch matching, Markov random field

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APA (6th Edition):

Zhou, Z. (2010). Face recognition under varying illumination, pose and contiguous occlusion. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16486

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, Zihan. “Face recognition under varying illumination, pose and contiguous occlusion.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/16486.

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

MLA Handbook (7th Edition):

Zhou, Zihan. “Face recognition under varying illumination, pose and contiguous occlusion.” 2010. Web. 18 Apr 2021.

Vancouver:

Zhou Z. Face recognition under varying illumination, pose and contiguous occlusion. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/16486.

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

Council of Science Editors:

Zhou Z. Face recognition under varying illumination, pose and contiguous occlusion. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16486

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

6. Wagner, Andrew. Fast and robust face recognition via parallelized L1 minimization.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 Many classic and contemporary face recognition algorithms work well on public data sets, but degrade sharply when they are used in a real recognition system.… (more)

Subjects/Keywords: Face Recognition; Sparse Representation; Parallel Programming; L1 Minimization

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

APA (6th Edition):

Wagner, A. (2012). Fast and robust face recognition via parallelized L1 minimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29657

Chicago Manual of Style (16th Edition):

Wagner, Andrew. “Fast and robust face recognition via parallelized L1 minimization.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/29657.

MLA Handbook (7th Edition):

Wagner, Andrew. “Fast and robust face recognition via parallelized L1 minimization.” 2012. Web. 18 Apr 2021.

Vancouver:

Wagner A. Fast and robust face recognition via parallelized L1 minimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/29657.

Council of Science Editors:

Wagner A. Fast and robust face recognition via parallelized L1 minimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29657

7. Hedau, Varsha. 3D spatial layout and geometric constraints for scene understanding.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 An image is nothing but a projection of the physical world around us, where objects do not occur randomly but follow certain spatial rules. Many… (more)

Subjects/Keywords: Computer vision; Image Processing; Scene understanding; Object recognition; Single view 3D modeling; Vanishing points

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

APA (6th Edition):

Hedau, V. (2012). 3D spatial layout and geometric constraints for scene understanding. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29773

Chicago Manual of Style (16th Edition):

Hedau, Varsha. “3D spatial layout and geometric constraints for scene understanding.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/29773.

MLA Handbook (7th Edition):

Hedau, Varsha. “3D spatial layout and geometric constraints for scene understanding.” 2012. Web. 18 Apr 2021.

Vancouver:

Hedau V. 3D spatial layout and geometric constraints for scene understanding. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/29773.

Council of Science Editors:

Hedau V. 3D spatial layout and geometric constraints for scene understanding. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29773

8. Yang, Jianchao. Sparse modeling of high-dimensional data for learning and vision.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 Sparse representations account for most or all of the information of a signal by a linear combination of a few elementary signals called atoms, and… (more)

Subjects/Keywords: sparse coding; sparse representation; sparse modeling; image classification; super-resolution; graph learning; bilevel optimization

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APA (6th Edition):

Yang, J. (2012). Sparse modeling of high-dimensional data for learning and vision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29816

Chicago Manual of Style (16th Edition):

Yang, Jianchao. “Sparse modeling of high-dimensional data for learning and vision.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/29816.

MLA Handbook (7th Edition):

Yang, Jianchao. “Sparse modeling of high-dimensional data for learning and vision.” 2012. Web. 18 Apr 2021.

Vancouver:

Yang J. Sparse modeling of high-dimensional data for learning and vision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/29816.

Council of Science Editors:

Yang J. Sparse modeling of high-dimensional data for learning and vision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29816


University of Illinois – Urbana-Champaign

9. Ghanem, Bernard S. Dynamic textures: models and applications.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 Temporal or dynamic textures are video sequences that are spatially repetitive and temporally stationary. Dynamic textures are temporal analogs of the more common spatial texture.… (more)

Subjects/Keywords: dynamic textures; image quality measure; Graph Cut; max margin distance learning; sparse coding; Iterated Conditional Modes

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APA (6th Edition):

Ghanem, B. S. (2010). Dynamic textures: models and applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16065

Chicago Manual of Style (16th Edition):

Ghanem, Bernard S. “Dynamic textures: models and applications.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/16065.

MLA Handbook (7th Edition):

Ghanem, Bernard S. “Dynamic textures: models and applications.” 2010. Web. 18 Apr 2021.

Vancouver:

Ghanem BS. Dynamic textures: models and applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/16065.

Council of Science Editors:

Ghanem BS. Dynamic textures: models and applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16065

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