NIPS Proceedings^β

Erik B. Sudderth

16 Papers

Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data (2012)

From Deformations to Parts: Motion-based Segmentation of 3D Objects (2012)

Minimization of Continuous Bethe Approximations: A Positive Variation (2012)

Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes (2012)

Spatial distance dependent Chinese restaurant processes for image segmentation (2011)

The Doubly Correlated Nonparametric Topic Model (2011)

Global seismic monitoring as probabilistic inference (2010)

Layered image motion with explicit occlusions, temporal consistency, and depth ordering (2010)

Sharing Features among Dynamical Systems with Beta Processes (2009)

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems (2008)

Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes (2008)

Loop Series and Bethe Variational Bounds in Attractive Graphical Models (2007)

Describing Visual Scenes using Transformed Dirichlet Processes (2005)

Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation (2004)

Efficient Multiscale Sampling from Products of Gaussian Mixtures (2003)

Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles (2000)