222 search results - page 6 / 45 » A stochastic EM algorithm for a semiparametric mixture model |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
NIPS
2003
13 years 10 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
DAGM
2010
Springer
13 years 9 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
CSDA
2007
13 years 8 months ago
2007
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...