513 search results - page 19 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
118
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
133
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ICPR
2000
IEEE
16 years 4 months ago
2000
IEEE
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
147
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IJAR
2006
15 years 3 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
135
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NIPS
2004
15 years 5 months ago
2004
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
148
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...