43 search results - page 1 / 9 » Boosting Gaussian mixture models via discriminant analysis |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
ICMCS
2009
IEEE
13 years 2 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, ...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
CVPR
2004
IEEE
13 years 8 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
IJON
2011
12 years 8 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...