1658 search results - page 137 / 332 » Learning Mixtures of Gaussians |
166
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
169
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JMLR
2002
15 years 6 months ago
2002
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
220
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ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
173
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ICASSP
2008
IEEE
16 years 27 days ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
198
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ISBI
2006
IEEE
2006
IEEE
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
16 years 14 days ago
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...