201 search results - page 3 / 41 » Slice sampling mixture models |
INTERSPEECH
2010
13 years 3 days ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
EMMCVPR
1999
Springer
13 years 9 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
UAI
2000
13 years 6 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
VTC
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...