16 search results - page 2 / 4 » Variational approximations in Bayesian model selection for f... |
CSDA
2010
13 years 4 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
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...
NIPS
2001
13 years 6 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...