1658 search results - page 182 / 332 » Learning Mixtures of Gaussians |
192
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NIPS
2004
15 years 7 months ago
2004
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
167
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
186
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JMLR
2011
15 years 1 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
184
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INTERSPEECH
2010
15 years 1 months ago
2010
This paper discusses a set of modifications regarding the use of the Bayesian Information Criterion (BIC) for the speaker diarization task. We focus on the specific variant of the...
220
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...