474 search results - page 9 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this work we show how conditional mean imputation can be bounded through the use of box-truncated Gaussian distributions. That is of interest when signals or features are partl...
CSDA
2010
13 years 7 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...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, denoising on multicomponent images is performed. The presented procedure is a spatial waveletbased denoising techniques, based on Bayesian leastsquares optimization...
JMLR
2000
13 years 7 months ago
2000
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
JMLR
2010
13 years 2 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...