513 search results - page 1 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
PAMI
2006
13 years 4 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
INTERSPEECH
2010
12 years 11 months ago
2010
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
ESANN
2004
13 years 6 months ago
2004
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
PAMI
1998
13 years 4 months ago
1998
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...