406 search results - page 14 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
161
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JMLR
2012
13 years 6 months ago
2012
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
149
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ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
138
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
154
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JMLR
2012
13 years 6 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...