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You searched for +publisher:"Brown University" +contributor:("Geman, Stuart"). Showing records 1 – 13 of 13 total matches.

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1. Wang, Wei-Ying. Image Compression and Data Clustering: New Takes on Some Old Problems.

Degree: Department of Applied Mathematics, 2017, Brown University

 We explore two topics in this thesis: (1) entropy rate on images, and (2) robust generalized clustering method. On the first topic, we examine the… (more)

Subjects/Keywords: Image compression

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APA (6th Edition):

Wang, W. (2017). Image Compression and Data Clustering: New Takes on Some Old Problems. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733554/

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, Wei-Ying. “Image Compression and Data Clustering: New Takes on Some Old Problems.” 2017. Thesis, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:733554/.

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

MLA Handbook (7th Edition):

Wang, Wei-Ying. “Image Compression and Data Clustering: New Takes on Some Old Problems.” 2017. Web. 29 Nov 2020.

Vancouver:

Wang W. Image Compression and Data Clustering: New Takes on Some Old Problems. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:733554/.

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

Council of Science Editors:

Wang W. Image Compression and Data Clustering: New Takes on Some Old Problems. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733554/

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

2. Zhang, Wei. Statistical Inference and Probabilistic Modeling in Compositional Vision.

Degree: PhD, Applied Mathematics, 2009, Brown University

 This thesis is a mathematical and computational study of compositional vision. Three topics are covered: (1) ROC performance in a compositional world; (2) the construction… (more)

Subjects/Keywords: generative

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APA (6th Edition):

Zhang, W. (2009). Statistical Inference and Probabilistic Modeling in Compositional Vision. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:137/

Chicago Manual of Style (16th Edition):

Zhang, Wei. “Statistical Inference and Probabilistic Modeling in Compositional Vision.” 2009. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:137/.

MLA Handbook (7th Edition):

Zhang, Wei. “Statistical Inference and Probabilistic Modeling in Compositional Vision.” 2009. Web. 29 Nov 2020.

Vancouver:

Zhang W. Statistical Inference and Probabilistic Modeling in Compositional Vision. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:137/.

Council of Science Editors:

Zhang W. Statistical Inference and Probabilistic Modeling in Compositional Vision. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:137/

3. Kushnarev, Sergey. The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric.

Degree: PhD, Applied Mathematics, 2010, Brown University

 This thesis investigates three related topics on the geometry of the space of planarshapes.In the first part, we setup the EPDiff (Euler-Poincare equation on the… (more)

Subjects/Keywords: shape space

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APA (6th Edition):

Kushnarev, S. (2010). The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11121/

Chicago Manual of Style (16th Edition):

Kushnarev, Sergey. “The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric.” 2010. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11121/.

MLA Handbook (7th Edition):

Kushnarev, Sergey. “The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric.” 2010. Web. 29 Nov 2020.

Vancouver:

Kushnarev S. The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric. [Internet] [Doctoral dissertation]. Brown University; 2010. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11121/.

Council of Science Editors:

Kushnarev S. The Geometry of the Space of 2D Shapes and theWeil-Petersson Metric. [Doctoral Dissertation]. Brown University; 2010. Available from: https://repository.library.brown.edu/studio/item/bdr:11121/

4. Miller, Jeffrey W. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.

Degree: PhD, Applied Mathematics, 2014, Brown University

 Many nonparametric Bayesian models can be viewed as an infinite-dimensional limit of a family of finite-dimensional models. However, another way to construct a flexible Bayesian… (more)

Subjects/Keywords: Bayesian nonparametrics

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APA (6th Edition):

Miller, J. W. (2014). Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386270/

Chicago Manual of Style (16th Edition):

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:386270/.

MLA Handbook (7th Edition):

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Web. 29 Nov 2020.

Vancouver:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/.

Council of Science Editors:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/

5. Loper, Jackson Hoy. Theory and Computation for Modern Probabilistic Models.

Degree: Department of Applied Mathematics, 2017, Brown University

 Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Loper, J. H. (2017). Theory and Computation for Modern Probabilistic Models. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733424/

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):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Thesis, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:733424/.

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

MLA Handbook (7th Edition):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Web. 29 Nov 2020.

Vancouver:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/.

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

Council of Science Editors:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/

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

6. Chua, Jeroen. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.

Degree: Department of Computer Science, 2017, Brown University

 We propose a general-purpose probabilistic framework for scene understanding tasks. We show that several classical scene understanding tasks can be modeled and addressed under a… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Chua, J. (2017). Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792615/

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):

Chua, Jeroen. “Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.” 2017. Thesis, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:792615/.

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

MLA Handbook (7th Edition):

Chua, Jeroen. “Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.” 2017. Web. 29 Nov 2020.

Vancouver:

Chua J. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:792615/.

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

Council of Science Editors:

Chua J. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:792615/

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

7. Nadkarni, Dahlia. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.

Degree: PhD, Applied Mathematics, 2015, Brown University

 The spiking electrical activity of simultaneously recorded neurons is often modeled as a multivariate binary time series. Inference about the fast temporal correlation structure of… (more)

Subjects/Keywords: Incidental parameter problems

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APA (6th Edition):

Nadkarni, D. (2015). The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419471/

Chicago Manual of Style (16th Edition):

Nadkarni, Dahlia. “The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.” 2015. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:419471/.

MLA Handbook (7th Edition):

Nadkarni, Dahlia. “The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.” 2015. Web. 29 Nov 2020.

Vancouver:

Nadkarni D. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:419471/.

Council of Science Editors:

Nadkarni D. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419471/

8. Lamar, Michael Taylor. Unsupervised Linguistic Inference.

Degree: PhD, Applied Mathematics, 2010, Brown University

 This dissertation describes two novel algorithms for fully unsupervised part-of-speech tagging (POST), both of which exceed the performance of the current state-of-the-art models in both… (more)

Subjects/Keywords: part of speech tagging

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APA (6th Edition):

Lamar, M. T. (2010). Unsupervised Linguistic Inference. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11128/

Chicago Manual of Style (16th Edition):

Lamar, Michael Taylor. “Unsupervised Linguistic Inference.” 2010. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11128/.

MLA Handbook (7th Edition):

Lamar, Michael Taylor. “Unsupervised Linguistic Inference.” 2010. Web. 29 Nov 2020.

Vancouver:

Lamar MT. Unsupervised Linguistic Inference. [Internet] [Doctoral dissertation]. Brown University; 2010. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11128/.

Council of Science Editors:

Lamar MT. Unsupervised Linguistic Inference. [Doctoral Dissertation]. Brown University; 2010. Available from: https://repository.library.brown.edu/studio/item/bdr:11128/

9. Chang, Lo-Bin. Conditional Modeling and Conditional Inference.

Degree: PhD, Applied Mathematics, 2010, Brown University

 This thesis is a mathematical and statistical study of conditional modeling and conditional inference. Two applications are covered: (1) Stock Prices and the Statistics of… (more)

Subjects/Keywords: return

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APA (6th Edition):

Chang, L. (2010). Conditional Modeling and Conditional Inference. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11374/

Chicago Manual of Style (16th Edition):

Chang, Lo-Bin. “Conditional Modeling and Conditional Inference.” 2010. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11374/.

MLA Handbook (7th Edition):

Chang, Lo-Bin. “Conditional Modeling and Conditional Inference.” 2010. Web. 29 Nov 2020.

Vancouver:

Chang L. Conditional Modeling and Conditional Inference. [Internet] [Doctoral dissertation]. Brown University; 2010. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11374/.

Council of Science Editors:

Chang L. Conditional Modeling and Conditional Inference. [Doctoral Dissertation]. Brown University; 2010. Available from: https://repository.library.brown.edu/studio/item/bdr:11374/

10. Headden, William P. Unsupervised Bayesian Lexicalized Dependency Grammar Induction.

Degree: PhD, Computer Science, 2012, Brown University

 This dissertation investigates learning dependency grammars for statistical natural language parsing from corpora without parse tree annotations. Most successful work in unsupervised dependency grammar induction… (more)

Subjects/Keywords: Grammar Induction

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APA (6th Edition):

Headden, W. P. (2012). Unsupervised Bayesian Lexicalized Dependency Grammar Induction. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297607/

Chicago Manual of Style (16th Edition):

Headden, William P. “Unsupervised Bayesian Lexicalized Dependency Grammar Induction.” 2012. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:297607/.

MLA Handbook (7th Edition):

Headden, William P. “Unsupervised Bayesian Lexicalized Dependency Grammar Induction.” 2012. Web. 29 Nov 2020.

Vancouver:

Headden WP. Unsupervised Bayesian Lexicalized Dependency Grammar Induction. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:297607/.

Council of Science Editors:

Headden WP. Unsupervised Bayesian Lexicalized Dependency Grammar Induction. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297607/

11. Liu, Shubao. Statistical Inverse Ray Tracing for Image-Based 3-d Modeling.

Degree: PhD, Electrical Science and Computer Engineering, 2011, Brown University

 This thesis addresses the problem of capturing 3-d geometry and appearance from multiple 2-d images, which has wide applications in virtual reality, entertainment, human-computer interface,… (more)

Subjects/Keywords: computer vision; image-based 3-d modeling; multi-view stereo; Markov random fields; MRF; belief propagation; dynamic programming; 3-d reconstruction

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APA (6th Edition):

Liu, S. (2011). Statistical Inverse Ray Tracing for Image-Based 3-d Modeling. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11238/

Chicago Manual of Style (16th Edition):

Liu, Shubao. “Statistical Inverse Ray Tracing for Image-Based 3-d Modeling.” 2011. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11238/.

MLA Handbook (7th Edition):

Liu, Shubao. “Statistical Inverse Ray Tracing for Image-Based 3-d Modeling.” 2011. Web. 29 Nov 2020.

Vancouver:

Liu S. Statistical Inverse Ray Tracing for Image-Based 3-d Modeling. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11238/.

Council of Science Editors:

Liu S. Statistical Inverse Ray Tracing for Image-Based 3-d Modeling. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11238/

12. Feiszli, Matthew D. Conformal Shape Representation.

Degree: PhD, Applied Mathematics, 2008, Brown University

 Representation and comparison of shapes is a central problem in computer vision. In this dissertation, we continue investigation of a relatively recent approach, based on… (more)

Subjects/Keywords: conformal

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APA (6th Edition):

Feiszli, M. D. (2008). Conformal Shape Representation. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:288/

Chicago Manual of Style (16th Edition):

Feiszli, Matthew D. “Conformal Shape Representation.” 2008. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:288/.

MLA Handbook (7th Edition):

Feiszli, Matthew D. “Conformal Shape Representation.” 2008. Web. 29 Nov 2020.

Vancouver:

Feiszli MD. Conformal Shape Representation. [Internet] [Doctoral dissertation]. Brown University; 2008. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:288/.

Council of Science Editors:

Feiszli MD. Conformal Shape Representation. [Doctoral Dissertation]. Brown University; 2008. Available from: https://repository.library.brown.edu/studio/item/bdr:288/

13. Carvalho, Luis E. X. Bayesian Centroid Estimation.

Degree: PhD, Applied Mathematics, 2008, Brown University

 Maximum likelihood estimators have traditionally dominated discrete inference for a long time. In this work we apply statistical decision theory to derive a new contender… (more)

Subjects/Keywords: centroid estimator

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APA (6th Edition):

Carvalho, L. E. X. (2008). Bayesian Centroid Estimation. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:34/

Chicago Manual of Style (16th Edition):

Carvalho, Luis E X. “Bayesian Centroid Estimation.” 2008. Doctoral Dissertation, Brown University. Accessed November 29, 2020. https://repository.library.brown.edu/studio/item/bdr:34/.

MLA Handbook (7th Edition):

Carvalho, Luis E X. “Bayesian Centroid Estimation.” 2008. Web. 29 Nov 2020.

Vancouver:

Carvalho LEX. Bayesian Centroid Estimation. [Internet] [Doctoral dissertation]. Brown University; 2008. [cited 2020 Nov 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:34/.

Council of Science Editors:

Carvalho LEX. Bayesian Centroid Estimation. [Doctoral Dissertation]. Brown University; 2008. Available from: https://repository.library.brown.edu/studio/item/bdr:34/

.