474 search results - page 2 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
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...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
IJON
2011
12 years 8 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
CSDA
2007
13 years 4 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
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...