1102 search results - page 17 / 221 » Density Estimation Using Mixtures of Mixtures of Gaussians |
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ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
73
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ADAC
2010
14 years 6 months ago
2010
The problem of merging Gaussian mixture components is discussed in situations where a Gaussian mixture is fitted but the mixture components are not separated enough from each othe...
86
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
75
Voted
CSDA
2007
14 years 9 months ago
2007
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
IJCAI
2007
14 years 11 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...