Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Forsyth, David A."). Showing records 1 – 30 of 46 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Department

▼ Search Limiters


University of Illinois – Urbana-Champaign

1. Sadeghi, Mohammad Amin. Recognition using visual phrases.

Degree: MS, 0112, 2012, University of Illinois – Urbana-Champaign

 In this thesis I introduce visual phrases, complex visual composites like ``a person riding a horse''. Visual phrases often display significantly reduced visual complexity compared… (more)

Subjects/Keywords: Visual Phrase; Phrasal Recognition; Visual Composites; Object Recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sadeghi, M. A. (2012). Recognition using visual phrases. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32060

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):

Sadeghi, Mohammad Amin. “Recognition using visual phrases.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/32060.

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

MLA Handbook (7th Edition):

Sadeghi, Mohammad Amin. “Recognition using visual phrases.” 2012. Web. 25 Feb 2020.

Vancouver:

Sadeghi MA. Recognition using visual phrases. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/32060.

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

Council of Science Editors:

Sadeghi MA. Recognition using visual phrases. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32060

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


University of Illinois – Urbana-Champaign

2. Wang, Jiqin. Depth map recovery from videos.

Degree: MS, 0112, 2014, University of Illinois – Urbana-Champaign

 The depth map of a video is a very important piece of information. Recovering the depth map of a video expands a 2D video into… (more)

Subjects/Keywords: depth map recovery; computer vision; motion segmentation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, J. (2014). Depth map recovery from videos. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50664

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):

Wang, Jiqin. “Depth map recovery from videos.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/50664.

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

MLA Handbook (7th Edition):

Wang, Jiqin. “Depth map recovery from videos.” 2014. Web. 25 Feb 2020.

Vancouver:

Wang J. Depth map recovery from videos. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/50664.

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

Council of Science Editors:

Wang J. Depth map recovery from videos. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50664

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


University of Illinois – Urbana-Champaign

3. Rajpal, Shreya. Learning embeddings for fashion recommendation.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 In this work, we present a novel methodology to recommend items that are compatible with a given item of clothing. Compatibility is a hard notion… (more)

Subjects/Keywords: embeddings; fashion; fashion recommendation; computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rajpal, S. (2018). Learning embeddings for fashion recommendation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100947

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):

Rajpal, Shreya. “Learning embeddings for fashion recommendation.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/100947.

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

MLA Handbook (7th Edition):

Rajpal, Shreya. “Learning embeddings for fashion recommendation.” 2018. Web. 25 Feb 2020.

Vancouver:

Rajpal S. Learning embeddings for fashion recommendation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/100947.

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

Council of Science Editors:

Rajpal S. Learning embeddings for fashion recommendation. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100947

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


University of Illinois – Urbana-Champaign

4. Yeh, Mao-Chuang. Improvement and measurement of neural style transfer.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image. There is a… (more)

Subjects/Keywords: style transfer; gram matrix; texture synthesis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yeh, M. (2018). Improvement and measurement of neural style transfer. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102527

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):

Yeh, Mao-Chuang. “Improvement and measurement of neural style transfer.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/102527.

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

MLA Handbook (7th Edition):

Yeh, Mao-Chuang. “Improvement and measurement of neural style transfer.” 2018. Web. 25 Feb 2020.

Vancouver:

Yeh M. Improvement and measurement of neural style transfer. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/102527.

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

Council of Science Editors:

Yeh M. Improvement and measurement of neural style transfer. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102527

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


University of Illinois – Urbana-Champaign

5. Jones, Brett R. Content creation for seamless augmented experiences with projection mapping.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 This dissertation explores systems and methods for creating projection mapping content that seamlessly merges virtual and physical. Most virtual reality and augmented reality technologies rely… (more)

Subjects/Keywords: projection mapping; spatial augmented reality; augmented reality; illumiroom; roomalive; projectibles

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jones, B. R. (2015). Content creation for seamless augmented experiences with projection mapping. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78591

Chicago Manual of Style (16th Edition):

Jones, Brett R. “Content creation for seamless augmented experiences with projection mapping.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/78591.

MLA Handbook (7th Edition):

Jones, Brett R. “Content creation for seamless augmented experiences with projection mapping.” 2015. Web. 25 Feb 2020.

Vancouver:

Jones BR. Content creation for seamless augmented experiences with projection mapping. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/78591.

Council of Science Editors:

Jones BR. Content creation for seamless augmented experiences with projection mapping. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78591


University of Illinois – Urbana-Champaign

6. Sodhi, Rajinder Singh. Ubiquitous interactive displays: magical experiences beyond the screen.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 Ubiquitous Interactive Displays are interfaces that extend interaction beyond traditional flat screens. This thesis presents a series of proof-of-concept systems exploring three interactive displays: the… (more)

Subjects/Keywords: Human Computer Interaction; Augmented Reality; Projection Mapping; Magical; Sensing; Interactive; Computer Vision; Spatial Augmented Reality; Tracking; 3D; Gesture; Around Device Interaction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sodhi, R. S. (2015). Ubiquitous interactive displays: magical experiences beyond the screen. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78594

Chicago Manual of Style (16th Edition):

Sodhi, Rajinder Singh. “Ubiquitous interactive displays: magical experiences beyond the screen.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/78594.

MLA Handbook (7th Edition):

Sodhi, Rajinder Singh. “Ubiquitous interactive displays: magical experiences beyond the screen.” 2015. Web. 25 Feb 2020.

Vancouver:

Sodhi RS. Ubiquitous interactive displays: magical experiences beyond the screen. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/78594.

Council of Science Editors:

Sodhi RS. Ubiquitous interactive displays: magical experiences beyond the screen. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78594


University of Illinois – Urbana-Champaign

7. Wang, Gang. Datasets, features, learning, and models in visual recognition.

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

 Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to… (more)

Subjects/Keywords: Visual Recognition; Datasets; Features; Learning; Models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, G. (2011). Datasets, features, learning, and models in visual recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18373

Chicago Manual of Style (16th Edition):

Wang, Gang. “Datasets, features, learning, and models in visual recognition.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/18373.

MLA Handbook (7th Edition):

Wang, Gang. “Datasets, features, learning, and models in visual recognition.” 2011. Web. 25 Feb 2020.

Vancouver:

Wang G. Datasets, features, learning, and models in visual recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/18373.

Council of Science Editors:

Wang G. Datasets, features, learning, and models in visual recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18373


University of Illinois – Urbana-Champaign

8. Sorokin, Alexander. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 The mission of machine learning is to empower computers to make generalizations from available data: labeled and unlabeled. The more labeled data we have the… (more)

Subjects/Keywords: crowdsourcing; computer vision; robotics; semi-supervised learning; object recognition; human activity recognition; sensor networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sorokin, A. (2012). Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29722

Chicago Manual of Style (16th Edition):

Sorokin, Alexander. “Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/29722.

MLA Handbook (7th Edition):

Sorokin, Alexander. “Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.” 2012. Web. 25 Feb 2020.

Vancouver:

Sorokin A. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/29722.

Council of Science Editors:

Sorokin A. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29722


University of Illinois – Urbana-Champaign

9. Singh, Abhishek. Learning to super-resolve images using self-similarities.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 The single image super-resolution problem entails estimating a high-resolution version of a low-resolution image. Recent studies have shown that high resolution versions of the patches… (more)

Subjects/Keywords: Self-Similarity; Image Enhancement; Image Super-Resolution

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Singh, A. (2015). Learning to super-resolve images using self-similarities. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78325

Chicago Manual of Style (16th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/78325.

MLA Handbook (7th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Web. 25 Feb 2020.

Vancouver:

Singh A. Learning to super-resolve images using self-similarities. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/78325.

Council of Science Editors:

Singh A. Learning to super-resolve images using self-similarities. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78325


University of Illinois – Urbana-Champaign

10. Choi, Jungwook. High performance and error resilient probabilistic inference system for machine learning.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Many real-world machine learning applications can be considered as inferring the best label assignment of maximum a posteriori probability (MAP) problems. Since these MAP problems… (more)

Subjects/Keywords: Belief Propagation (BP); Field-Programmable Gate Array (FPGA); hybrid-core computing platform; Markov Random Field (MRF); sequential tree-reweighted message passing (TRW-S); stereo matching; Error resilience; message passing; algorithmic noise tolerance

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Choi, J. (2015). High performance and error resilient probabilistic inference system for machine learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88204

Chicago Manual of Style (16th Edition):

Choi, Jungwook. “High performance and error resilient probabilistic inference system for machine learning.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/88204.

MLA Handbook (7th Edition):

Choi, Jungwook. “High performance and error resilient probabilistic inference system for machine learning.” 2015. Web. 25 Feb 2020.

Vancouver:

Choi J. High performance and error resilient probabilistic inference system for machine learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/88204.

Council of Science Editors:

Choi J. High performance and error resilient probabilistic inference system for machine learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88204


University of Illinois – Urbana-Champaign

11. Guo, Ruiqi. Scene understanding with complete scenes and structured representations.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Humans can understand scenes with abundant detail: they see layouts, surfaces, the shape of objects among other details. By contrast, many machine-based scene analysis algorithms… (more)

Subjects/Keywords: Scene Understanding; Computer Vision; Machine Learning; Computer Graphics; Image Parsing; Image Segmentation; RGB-D images

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Guo, R. (2014). Scene understanding with complete scenes and structured representations. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50564

Chicago Manual of Style (16th Edition):

Guo, Ruiqi. “Scene understanding with complete scenes and structured representations.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/50564.

MLA Handbook (7th Edition):

Guo, Ruiqi. “Scene understanding with complete scenes and structured representations.” 2014. Web. 25 Feb 2020.

Vancouver:

Guo R. Scene understanding with complete scenes and structured representations. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/50564.

Council of Science Editors:

Guo R. Scene understanding with complete scenes and structured representations. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50564


University of Illinois – Urbana-Champaign

12. Lim, Shiau Hong. Explanation-Based Feature Construction.

Degree: PhD, Computer Science, 2009, University of Illinois – Urbana-Champaign

 Incorporating additional information from our prior domain knowledge can be the key to solving difficult classification tasks, especially when the available training data is limited.… (more)

Subjects/Keywords: machine learning; feature construction; explanation-based learning; pattern recognition; handwriting recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lim, S. H. (2009). Explanation-Based Feature Construction. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/11753

Chicago Manual of Style (16th Edition):

Lim, Shiau Hong. “Explanation-Based Feature Construction.” 2009. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/11753.

MLA Handbook (7th Edition):

Lim, Shiau Hong. “Explanation-Based Feature Construction.” 2009. Web. 25 Feb 2020.

Vancouver:

Lim SH. Explanation-Based Feature Construction. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/11753.

Council of Science Editors:

Lim SH. Explanation-Based Feature Construction. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2009. Available from: http://hdl.handle.net/2142/11753


University of Illinois – Urbana-Champaign

13. Klementiev, Alexandre A. Learning with Incidental Supervision.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide… (more)

Subjects/Keywords: machine learning; natural language processing; prediction aggregation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Klementiev, A. A. (2010). Learning with Incidental Supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14553

Chicago Manual of Style (16th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/14553.

MLA Handbook (7th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Web. 25 Feb 2020.

Vancouver:

Klementiev AA. Learning with Incidental Supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/14553.

Council of Science Editors:

Klementiev AA. Learning with Incidental Supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14553


University of Illinois – Urbana-Champaign

14. Xia, Tian. A hybrid approach to problems in image processing.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Digital image processing generally refers to the use of computer algorithms that deal with operations on or analysis of digital images. It covers a wide… (more)

Subjects/Keywords: computer graphics; image processing; image vectorization; image segmentation; image classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Xia, T. (2010). A hybrid approach to problems in image processing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16794

Chicago Manual of Style (16th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/16794.

MLA Handbook (7th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Web. 25 Feb 2020.

Vancouver:

Xia T. A hybrid approach to problems in image processing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/16794.

Council of Science Editors:

Xia T. A hybrid approach to problems in image processing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16794


University of Illinois – Urbana-Champaign

15. Feng, Wei-Wen. Effective methods for manipulating and rendering skinned meshes.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 Mesh skinning has been a widely applied method in games for skeleton driven character animation. A gaming character can be easily animated and deformed by… (more)

Subjects/Keywords: Mesh Deformation; Mesh Skinning; Cloth Animation; Data Driven Method; Real-Time Rendering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Feng, W. (2011). Effective methods for manipulating and rendering skinned meshes. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18652

Chicago Manual of Style (16th Edition):

Feng, Wei-Wen. “Effective methods for manipulating and rendering skinned meshes.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/18652.

MLA Handbook (7th Edition):

Feng, Wei-Wen. “Effective methods for manipulating and rendering skinned meshes.” 2011. Web. 25 Feb 2020.

Vancouver:

Feng W. Effective methods for manipulating and rendering skinned meshes. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/18652.

Council of Science Editors:

Feng W. Effective methods for manipulating and rendering skinned meshes. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18652


University of Illinois – Urbana-Champaign

16. Shirazi, Afsaneh H. Reasoning with models of probabilistic knowledge over probabilistic knowledge.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves… (more)

Subjects/Keywords: Probabilistic Knowledge; Bayesian Networks; Modal Logic

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shirazi, A. H. (2011). Reasoning with models of probabilistic knowledge over probabilistic knowledge. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24239

Chicago Manual of Style (16th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/24239.

MLA Handbook (7th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Web. 25 Feb 2020.

Vancouver:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/24239.

Council of Science Editors:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24239


University of Illinois – Urbana-Champaign

17. Guzman Rivera, Abner. Multi-output structured learning.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Real-world applications of Machine Learning (ML) require modeling and reasoning about complex, heterogeneous and high-dimensional data. Probabilistic Inference and Structured-Output Prediction (SOP) are frameworks within… (more)

Subjects/Keywords: Structured Output Prediction; Structured Learning; Multi-Output Structured Learning; Multiple Outputs

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Guzman Rivera, A. (2014). Multi-output structured learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50456

Chicago Manual of Style (16th Edition):

Guzman Rivera, Abner. “Multi-output structured learning.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/50456.

MLA Handbook (7th Edition):

Guzman Rivera, Abner. “Multi-output structured learning.” 2014. Web. 25 Feb 2020.

Vancouver:

Guzman Rivera A. Multi-output structured learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/50456.

Council of Science Editors:

Guzman Rivera A. Multi-output structured learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50456


University of Illinois – Urbana-Champaign

18. Jia, Yuntao. Large graph simplification, clustering and visualization.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 This dissertation investigates novel approaches for analysis and visualization of two kinds of graph, scale-free network and rooted hierarchy, at large scales with thousands to… (more)

Subjects/Keywords: Scale-free network; Hierarchy; Visualization; Simplification; Clustering; Centrality metric; Betweenness centrality

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jia, Y. (2010). Large graph simplification, clustering and visualization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16022

Chicago Manual of Style (16th Edition):

Jia, Yuntao. “Large graph simplification, clustering and visualization.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/16022.

MLA Handbook (7th Edition):

Jia, Yuntao. “Large graph simplification, clustering and visualization.” 2010. Web. 25 Feb 2020.

Vancouver:

Jia Y. Large graph simplification, clustering and visualization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/16022.

Council of Science Editors:

Jia Y. Large graph simplification, clustering and visualization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16022


University of Illinois – Urbana-Champaign

19. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 February 25, 2020. http://hdl.handle.net/2142/16065.

MLA Handbook (7th Edition):

Ghanem, Bernard S. “Dynamic textures: models and applications.” 2010. Web. 25 Feb 2020.

Vancouver:

Ghanem BS. Dynamic textures: models and applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 25]. 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


University of Illinois – Urbana-Champaign

20. Akbas, Emre. Generation and analysis of segmentation trees for natural images.

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

 This dissertation is about extracting as well as making use of the structure and hierarchy present in images. We develop a new low-level, multiscale, hierarchical… (more)

Subjects/Keywords: computer vision; image processing; image segmentation; machine learning; segmentation benchmark; natural image statistics; image classification; scene classification; binocular fusion; region matching; multiple instance learning (mil); mis-boost; pascal voc; Pattern Analysis Statistical Modeling and Computational Learning (PASCAL); Visual Object Classes (VOC)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Akbas, E. (2011). Generation and analysis of segmentation trees for natural images. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/26317

Chicago Manual of Style (16th Edition):

Akbas, Emre. “Generation and analysis of segmentation trees for natural images.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/26317.

MLA Handbook (7th Edition):

Akbas, Emre. “Generation and analysis of segmentation trees for natural images.” 2011. Web. 25 Feb 2020.

Vancouver:

Akbas E. Generation and analysis of segmentation trees for natural images. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/26317.

Council of Science Editors:

Akbas E. Generation and analysis of segmentation trees for natural images. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/26317


University of Illinois – Urbana-Champaign

21. Yang, Qingxiong. Robust and efficient image-based 3D modeling.

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

 In this dissertation, I report the progress towards building a robust and efficient 3D reconstruction system based on stereo vision. Stereo vision is known to… (more)

Subjects/Keywords: Stereo Matching; Bilateral Filter; Belief Propagation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, Q. (2011). Robust and efficient image-based 3D modeling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18553

Chicago Manual of Style (16th Edition):

Yang, Qingxiong. “Robust and efficient image-based 3D modeling.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/18553.

MLA Handbook (7th Edition):

Yang, Qingxiong. “Robust and efficient image-based 3D modeling.” 2011. Web. 25 Feb 2020.

Vancouver:

Yang Q. Robust and efficient image-based 3D modeling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/18553.

Council of Science Editors:

Yang Q. Robust and efficient image-based 3D modeling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18553

22. Crisostomo Romero, Pedro Moises. Hand detection on images based on deformable part models and additional features.

Degree: MS, 0112, 2011, University of Illinois – Urbana-Champaign

 Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC… (more)

Subjects/Keywords: Hand detection; computer vision; machine learning; deformable models; PASCAL Visual Object Classes (VOC); frequency features; color features; Pattern Analysis Statistical Modeling and Computational Learning (PASCAL)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Crisostomo Romero, P. M. (2011). Hand detection on images based on deformable part models and additional features. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24270

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):

Crisostomo Romero, Pedro Moises. “Hand detection on images based on deformable part models and additional features.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/24270.

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

MLA Handbook (7th Edition):

Crisostomo Romero, Pedro Moises. “Hand detection on images based on deformable part models and additional features.” 2011. Web. 25 Feb 2020.

Vancouver:

Crisostomo Romero PM. Hand detection on images based on deformable part models and additional features. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/24270.

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

Council of Science Editors:

Crisostomo Romero PM. Hand detection on images based on deformable part models and additional features. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24270

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

23. Pahuja, Zubin. Self-supervised learning of spatiotemporal features from video colorization.

Degree: MS, Computer Science, 2019, University of Illinois – Urbana-Champaign

 We pose video colorization as a self-supervised learning problem for visual tracking. We use large amounts of freely available unlabeled video from YouTube to learn… (more)

Subjects/Keywords: colorization; self-supervised learning; tracking; video

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pahuja, Z. (2019). Self-supervised learning of spatiotemporal features from video colorization. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/105728

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):

Pahuja, Zubin. “Self-supervised learning of spatiotemporal features from video colorization.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/105728.

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

MLA Handbook (7th Edition):

Pahuja, Zubin. “Self-supervised learning of spatiotemporal features from video colorization.” 2019. Web. 25 Feb 2020.

Vancouver:

Pahuja Z. Self-supervised learning of spatiotemporal features from video colorization. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/105728.

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

Council of Science Editors:

Pahuja Z. Self-supervised learning of spatiotemporal features from video colorization. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/105728

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

24. Wang, Gang. Using the Internet for object image retrieval and object image classification.

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

 The Internet has become the largest repository for numerous resources, a big portion of which are images and related multimedia content such as text and… (more)

Subjects/Keywords: Internet; Object image retrieval; Object image classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, G. (2010). Using the Internet for object image retrieval and object image classification. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14623

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):

Wang, Gang. “Using the Internet for object image retrieval and object image classification.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/14623.

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

MLA Handbook (7th Edition):

Wang, Gang. “Using the Internet for object image retrieval and object image classification.” 2010. Web. 25 Feb 2020.

Vancouver:

Wang G. Using the Internet for object image retrieval and object image classification. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/14623.

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

Council of Science Editors:

Wang G. Using the Internet for object image retrieval and object image classification. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14623

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

25. Karsch, Kevin. Inverse rendering techniques for physically grounded image editing.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where… (more)

Subjects/Keywords: image editing; scene understanding; inverse rendering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Karsch, K. (2015). Inverse rendering techniques for physically grounded image editing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78327

Chicago Manual of Style (16th Edition):

Karsch, Kevin. “Inverse rendering techniques for physically grounded image editing.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/78327.

MLA Handbook (7th Edition):

Karsch, Kevin. “Inverse rendering techniques for physically grounded image editing.” 2015. Web. 25 Feb 2020.

Vancouver:

Karsch K. Inverse rendering techniques for physically grounded image editing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/78327.

Council of Science Editors:

Karsch K. Inverse rendering techniques for physically grounded image editing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78327

26. Liao, Zicheng. Image editing and interaction tools for visual expression.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Digital photography is becoming extremely common in our daily life. However, images are difficult to edit and interact with. From a user's perspective, it is… (more)

Subjects/Keywords: Visual modeling; computational photography; image editing and interaction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liao, Z. (2014). Image editing and interaction tools for visual expression. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49519

Chicago Manual of Style (16th Edition):

Liao, Zicheng. “Image editing and interaction tools for visual expression.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/49519.

MLA Handbook (7th Edition):

Liao, Zicheng. “Image editing and interaction tools for visual expression.” 2014. Web. 25 Feb 2020.

Vancouver:

Liao Z. Image editing and interaction tools for visual expression. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/49519.

Council of Science Editors:

Liao Z. Image editing and interaction tools for visual expression. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49519

27. Lin, Dennis. Visual tracking of highly articulated objects using massively parallel processors.

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

 Hand gesture recognition has the potential of simplifying human computer interactions. However, the human hand is a highly articulated object, capable of taking on many… (more)

Subjects/Keywords: computer vision; articulated model; tracking; hand gesture

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lin, D. (2012). Visual tracking of highly articulated objects using massively parallel processors. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29829

Chicago Manual of Style (16th Edition):

Lin, Dennis. “Visual tracking of highly articulated objects using massively parallel processors.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/29829.

MLA Handbook (7th Edition):

Lin, Dennis. “Visual tracking of highly articulated objects using massively parallel processors.” 2012. Web. 25 Feb 2020.

Vancouver:

Lin D. Visual tracking of highly articulated objects using massively parallel processors. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/29829.

Council of Science Editors:

Lin D. Visual tracking of highly articulated objects using massively parallel processors. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29829

28. Tran, Duan. Structure prediction for human parsing.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 This thesis shows that structure prediction is well-suited for detecting and parsing people in images (and videos) due to the advantage of learning local part… (more)

Subjects/Keywords: Image Parsing; Human Pose Parsing; People Parsing; Object Detection; Structure Prediction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tran, D. (2012). Structure prediction for human parsing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29473

Chicago Manual of Style (16th Edition):

Tran, Duan. “Structure prediction for human parsing.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/29473.

MLA Handbook (7th Edition):

Tran, Duan. “Structure prediction for human parsing.” 2012. Web. 25 Feb 2020.

Vancouver:

Tran D. Structure prediction for human parsing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/29473.

Council of Science Editors:

Tran D. Structure prediction for human parsing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29473

29. Chang, Kai-Wei. Selective algorithms for large-scale classification and structured learning.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 The desired output in many machine learning tasks is a structured object, such as tree, clustering, or sequence. Learning accurate prediction models for such problems… (more)

Subjects/Keywords: Selective Learning Algorithm; Machine Learning; Structured Learning; Large-Scale Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chang, K. (2015). Selective algorithms for large-scale classification and structured learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78437

Chicago Manual of Style (16th Edition):

Chang, Kai-Wei. “Selective algorithms for large-scale classification and structured learning.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/78437.

MLA Handbook (7th Edition):

Chang, Kai-Wei. “Selective algorithms for large-scale classification and structured learning.” 2015. Web. 25 Feb 2020.

Vancouver:

Chang K. Selective algorithms for large-scale classification and structured learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/78437.

Council of Science Editors:

Chang K. Selective algorithms for large-scale classification and structured learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78437

30. Khatibi, Arash. Generalized sequential assignment problem.

Degree: PhD, Industrial Engineering, 2017, University of Illinois – Urbana-Champaign

 The Sequential Stochastic Assignment Problem (SSAP) deals with assigning sequentially arriving tasks with stochastic parameters to workers with fixed success rates. The reward of each… (more)

Subjects/Keywords: Linear program; Online matching; Secretary problem; Sequential assignment

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khatibi, A. (2017). Generalized sequential assignment problem. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97329

Chicago Manual of Style (16th Edition):

Khatibi, Arash. “Generalized sequential assignment problem.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 25, 2020. http://hdl.handle.net/2142/97329.

MLA Handbook (7th Edition):

Khatibi, Arash. “Generalized sequential assignment problem.” 2017. Web. 25 Feb 2020.

Vancouver:

Khatibi A. Generalized sequential assignment problem. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2142/97329.

Council of Science Editors:

Khatibi A. Generalized sequential assignment problem. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97329

[1] [2]

.