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Publications of Author

1. Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky
   Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
   CVPR (1), 2003, pp:605-612 [Conf]
   
2. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
   Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. [Citation Graph (0, 0)][DBLP]
   CVPR (2), 2006, pp:2410-2417 [Conf]
   
3. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
   Learning Hierarchical Models of Scenes, Objects, and Parts. [Citation Graph (0, 0)][DBLP]
   ICCV, 2005, pp:1331-1338 [Conf]
   
4. Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
   Efficient Multiscale Sampling from Products of Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
   NIPS, 2003, pp:- [Conf]
   
5. Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
   Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
6. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
   Describing Visual Scenes using Transformed Dirichlet Processes. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
7. Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
   Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles. [Citation Graph (0, 0)][DBLP]
   NIPS, 2000, pp:661-667 [Conf]
   
8. 
   Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes. [Citation Graph (, )][DBLP]
   
   
9. 
   Image Denoising with Nonparametric Hidden Markov Trees. [Citation Graph (, )][DBLP]
   
   
10. 
    An HDP-HMM for systems with state persistence. [Citation Graph (, )][DBLP]
    
    
11. 
    Loop Series and Bethe Variational Bounds in Attractive Graphical Models. [Citation Graph (, )][DBLP]
    
    
12. 
    Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes. [Citation Graph (, )][DBLP]
    
    
13. 
    Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. [Citation Graph (, )][DBLP]
    
    
14. 
    Nonparametric belief propagation for distributed tracking of robot networks with noisy inter-distance measurements. [Citation Graph (, )][DBLP]