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» Statistical Compressed Sensing of Gaussian Mixture Models
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ICML
2004
IEEE
14 years 8 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
ICIP
2010
IEEE
13 years 4 months ago
Entropies and cross-entropies of exponential families
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
Frank Nielsen, Richard Nock
JDCTA
2010
144views more  JDCTA 2010»
13 years 2 months ago
Research on SVDD Applied in Speaker Verification
In tradition probability statistics model, speaker verification threshold is instability in different test situations. A novel speaker verification method based on Support Vector ...
Yuhuan Zhou, Xiongwei Zhang, Jinming Wang, Yong Go...
INTERSPEECH
2010
13 years 2 months ago
Improvements to the equal-parameter BIC for speaker diarization
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...
Themos Stafylakis, Xavier Anguera
ICML
2010
IEEE
13 years 8 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...