1658 search results - page 60 / 332 » Learning Mixtures of Gaussians |
100
click to vote
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
103
click to vote
ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
122
click to vote
SSPR
2010
Springer
14 years 9 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
CSDA
2006
14 years 11 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
130
click to vote
CCIA
2010
Springer
14 years 6 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...