64 search results - page 7 / 13 » Matrix-Variate Dirichlet Process Mixture Models |
ICML
2008
IEEE
16 years 12 days ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
93
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
NIPS
2008
15 years 1 months ago
2008
In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can ha...
114
Voted
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
ICML
2007
IEEE
16 years 12 days ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...