1658 search results - page 25 / 332 » Learning Mixtures of Gaussians |
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JCST
2010
14 years 9 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
NN
2002
Springer
14 years 10 months ago
2002
Springer
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
100
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ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
DATAMINE
2006
14 years 10 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
71
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MM
2005
ACM
15 years 4 months ago
2005
ACM
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...