115 search results - page 4 / 23 » Discriminative simplification of mixture models |
INTERSPEECH
2010
13 years 2 months ago
2010
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
PRL
2007
13 years 6 months ago
2007
Abstract – In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...