513 search results - page 8 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
JMLR
2011
13 years 2 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
DICTA
2003
13 years 9 months ago
2003
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel method of enhancing esophageal speech using statistical voice conversion. Esophageal speech is one of the alternative speaking methods for laryngectome...
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...