270 search results - page 31 / 54 » Hierarchical Gaussian process latent variable models |
159
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
146
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TSP
2008
15 years 3 months ago
2008
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
139
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ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
132
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NIPS
2001
15 years 5 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...
148
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NIPS
2008
15 years 5 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...