Transformed Dirichlet Process Image Models

Matlab code which implements learning algorithms for the models in our 2008 IJCV paper, Describing Visual Scenes using Transformed Objects and Parts.

Nonparametric Bayesian Hidden Markov Models

Matlab code which implements the blocked Gibbs sampling learning and inference algorithms for our 2008 ICML paper, An HDP-HMM for Systems with State Persistence; our 2008 NIPS paper, Nonparametric Bayesian Learning of Switching Linear Dynamical Systems; and our 2009 NIPS paper, Sharing Features among Dynamical Systems with Beta Processes.

Nonparametric Belief Propagation

Matlab and C++ code which implements the efficient KD-Tree algorithms from our 2003 NIPS paper, Efficient Multiscale Sampling from Products of Gaussian Mixtures. This provides a good starting point for adapting NBP to new application domains.