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UAI
2000
13 years 10 months ago
A Two-Round Variant of EM for Gaussian Mixtures
We show that, given data from a mixture of
Sanjoy Dasgupta, Leonard J. Schulman
BILDMED
2009
124views Algorithms» more  BILDMED 2009»
13 years 10 months ago
Evaluation of the Twofold Gaussian Mixture Model Applied to Clinical Volume Datasets
Abstract. Volume representations of blood vessels acquired by 3D rotational angiography are very suitable for diagnosing a stenosis or an aneurysm. For optimal treatment, physician...
Jan Bruijns
BMEI
2009
IEEE
13 years 10 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
ICASSP
2010
IEEE
13 years 9 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 9 months ago
Settling the Polynomial Learnability of Mixtures of Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
Ankur Moitra, Gregory Valiant