Search results for "Erik B. Sudderth"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell	Gibbs Sampling in Open-Universe Stochastic Languages	CoRR	2012	DBLP BibTeX RDF
1	Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky	Bayesian Nonparametric Inference of Switching Dynamic Linear Models.	IEEE Transactions on Signal Processing	2011	DBLP DOI BibTeX RDF
1	Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth	Global Seismic Monitoring: A Bayesian Approach.	AAAI	2011	DBLP BibTeX RDF
1	Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David M. Blei	Spatial distance dependent Chinese restaurant processes for image segmentation.	NIPS	2011	DBLP BibTeX RDF
1	Dae Il Kim, Erik B. Sudderth	The Doubly Correlated Nonparametric Topic Model.	NIPS	2011	DBLP BibTeX RDF
1	Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky	Nonparametric belief propagation.	Commun. ACM	2010	DBLP DOI BibTeX RDF
1	Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell	Gibbs Sampling in Open-Universe Stochastic Languages.	UAI	2010	DBLP BibTeX RDF
1	Nimar S. Arora, Stuart Russell, Erik B. Sudderth	Automatic Inference in BLOG.	Statistical Relational Artificial Intelligence	2010	DBLP BibTeX RDF
1	Deqing Sun, Erik B. Sudderth, Michael J. Black	Layered image motion with explicit occlusions, temporal consistency, and depth ordering.	NIPS	2010	DBLP BibTeX RDF
1	Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth	Global seismic monitoring as probabilistic inference.	NIPS	2010	DBLP BibTeX RDF
1	Qiang Ji, Jiebo Luo, Dimitris N. Metaxas, Antonio Torralba, Thomas S. Huang, Erik B. Sudderth	Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Jeremy Schiff, Erik B. Sudderth, Kenneth Y. Goldberg	Nonparametric belief propagation for distributed tracking of robot networks with noisy inter-distance measurements.	IROS	2009	DBLP DOI BibTeX RDF
1	Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky	Sharing Features among Dynamical Systems with Beta Processes.	NIPS	2009	DBLP BibTeX RDF
1	James A. Hendler, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth, Luis von Ahn	AI's 10 to Watch.	IEEE Intelligent Systems	2008	DBLP DOI BibTeX RDF	Darpa Urban Challenge, ontologies, machine learning, information retrieval, Semantic Web, computer vision, social networks, artificial intelligence, robots, natural language processing, NLP, intelligent systems, intelligent transportation systems, computational linguistics, human computation, computational photography, Captchas, statistical relational learning, statistical relational learning, multimodal perception
1	Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky	Describing Visual Scenes Using Transformed Objects and Parts.	International Journal of Computer Vision	2008	DBLP DOI BibTeX RDF	Hierarchical Dirichlet process, Context, Object recognition, Transformation, Graphical models, Scene analysis, Dirichlet process
1	Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky	An HDP-HMM for systems with state persistence.	ICML	2008	DBLP DOI BibTeX RDF
1	Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky	Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.	NIPS	2008	DBLP BibTeX RDF
1	Erik B. Sudderth, Michael I. Jordan	Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes.	NIPS	2008	DBLP BibTeX RDF
1	Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan	Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.	ICCV	2007	DBLP DOI BibTeX RDF
1	Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan	Image Denoising with Nonparametric Hidden Markov Trees.	ICIP	2007	DBLP DOI BibTeX RDF
1	Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky	Loop Series and Bethe Variational Bounds in Attractive Graphical Models.	NIPS	2007	DBLP BibTeX RDF
1	Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky	Depth from Familiar Objects: A Hierarchical Model for 3D Scenes.	CVPR	2006	DBLP DOI BibTeX RDF
1	Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky	Learning Hierarchical Models of Scenes, Objects, and Parts.	ICCV	2005	DBLP DOI BibTeX RDF
1	Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky	Describing Visual Scenes using Transformed Dirichlet Processes.	NIPS	2005	DBLP BibTeX RDF
1	Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky	Embedded trees: estimation of Gaussian Processes on graphs with cycles.	IEEE Transactions on Signal Processing	2004	DBLP DOI BibTeX RDF
1	Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky	Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.	NIPS	2004	DBLP BibTeX RDF
1	Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky	Nonparametric Belief Propagation.	CVPR	2003	DBLP DOI BibTeX RDF
1	Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky	Efficient Multiscale Sampling from Products of Gaussian Mixtures.	NIPS	2003	DBLP BibTeX RDF
1	John W. Fisher III, Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky	Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors.	IJHPCA	2002	DBLP DOI BibTeX RDF
1	Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky	Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.	NIPS	2000	DBLP BibTeX RDF

Publications of "Erik B. Sudderth" ( http://dblp.L3S.de/Authors/Erik_B._Sudderth )