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ICA
2007
Springer
15 years 12 months ago
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...
Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D...
ICIP
2001
IEEE
16 years 7 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
ICPR
2006
IEEE
16 years 7 months ago
EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models
Antonio Peñalver Benavent, Francisco Escola...
ACCV
2009
Springer
16 years 13 days ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock