211 search results - page 7 / 43 » On Spectral Learning of Mixtures of Distributions |
104
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SDM
2011
SIAM
14 years 15 days ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
ICASSP
2011
IEEE
2011
IEEE
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator
14 years 1 months ago
In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
100
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ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...