90 search results - page 4 / 18 » EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Mod... |
PCI
2005
Springer
14 years 17 days ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
ICMCS
2009
IEEE
13 years 4 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
NN
1998
Springer
13 years 6 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
EMMCVPR
1999
Springer
13 years 11 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...