200 search results - page 8 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
132
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FLAIRS
2008
15 years 19 days ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
CSDA
2010
14 years 10 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
BVAI
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
85
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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
114
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AMFG
2007
IEEE
15 years 2 months ago
2007
IEEE
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...