1658 search results - page 63 / 332 » Learning Mixtures of Gaussians |
150
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Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
NIPS
2004
15 years 12 days ago
2004
We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
104
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ICIP
2006
IEEE
16 years 20 days ago
2006
IEEE
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
102
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...