3790 search results - page 104 / 758 » Advances in Mixture Models |
133
Voted
ICML
2007
IEEE
16 years 4 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...
129
Voted
ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
122
Voted
ICA
2007
Springer
15 years 7 months ago
2007
Springer
In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sens...
130
Voted
TASLP
2010
14 years 10 months ago
2010
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...
115
Voted
IJON
2008
15 years 2 months ago
2008
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...