2008 |
15 | EE | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
An HDP-HMM for systems with state persistence.
ICML 2008: 312-319 |
14 | EE | Erik B. Sudderth,
Michael I. Jordan:
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes.
NIPS 2008: 1585-1592 |
13 | EE | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
NIPS 2008: 457-464 |
12 | EE | 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 23(3): 9-19 (2008) |
11 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Describing Visual Scenes Using Transformed Objects and Parts.
International Journal of Computer Vision 77(1-3): 291-330 (2008) |
2007 |
10 | EE | Jyri J. Kivinen,
Erik B. Sudderth,
Michael I. Jordan:
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.
ICCV 2007: 1-8 |
9 | EE | Jyri J. Kivinen,
Erik B. Sudderth,
Michael I. Jordan:
Image Denoising with Nonparametric Hidden Markov Trees.
ICIP (3) 2007: 121-124 |
8 | EE | Erik B. Sudderth,
Martin J. Wainwright,
Alan S. Willsky:
Loop Series and Bethe Variational Bounds in Attractive Graphical Models.
NIPS 2007 |
2006 |
7 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes.
CVPR (2) 2006: 2410-2417 |
2005 |
6 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Learning Hierarchical Models of Scenes, Objects, and Parts.
ICCV 2005: 1331-1338 |
5 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Describing Visual Scenes using Transformed Dirichlet Processes.
NIPS 2005 |
2004 |
4 | EE | Erik B. Sudderth,
Michael I. Mandel,
William T. Freeman,
Alan S. Willsky:
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
NIPS 2004 |
2003 |
3 | EE | Erik B. Sudderth,
Alexander T. Ihler,
William T. Freeman,
Alan S. Willsky:
Nonparametric Belief Propagation.
CVPR (1) 2003: 605-612 |
2 | EE | Alexander T. Ihler,
Erik B. Sudderth,
William T. Freeman,
Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures.
NIPS 2003 |
2000 |
1 | | Martin J. Wainwright,
Erik B. Sudderth,
Alan S. Willsky:
Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
NIPS 2000: 661-667 |