530 search results - page 8 / 106 » Dirichlet Process Mixtures of Generalized Linear Models |
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
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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 14 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...
107
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ICA
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...