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» Learning Mixtures of Gaussians
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PAMI
2008
140views more  PAMI 2008»
13 years 5 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
NPL
2002
140views more  NPL 2002»
13 years 4 months ago
A Greedy EM Algorithm for Gaussian Mixture Learning
Learninga Gaussian mixturewithalocal algorithm like EMcanbe dif
Nikos A. Vlassis, Aristidis Likas
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 5 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
ICIP
2005
IEEE
14 years 7 months ago
SAR images as mixtures of Gaussian mixtures
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
Peter Orbanz, Joachim M. Buhmann
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 5 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha