405 search results - page 47 / 81 » Bayesian Gaussian Process Latent Variable Model |
109
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PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
NIPS
2001
15 years 1 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
112
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
126
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AVSS
2009
IEEE
15 years 3 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
AINA
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...