878 search results - page 26 / 176 » Continuous Gaussian Mixture Modeling |
108
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
131
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ALT
2003
Springer
15 years 11 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
113
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
In this work we show how conditional mean imputation can be bounded through the use of box-truncated Gaussian distributions. That is of interest when signals or features are partl...