2103 search results - page 203 / 421 » Approximate Learning of Dynamic Models |
188
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ICCV
2007
IEEE
16 years 19 days ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
163
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
128
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HICSS
2009
IEEE
16 years 1 months ago
2009
IEEE
A simple dynamic model of agent operation of an infrastructure system is presented. This system evolves over a long time scale by a daily increase in consumer demand that raises t...
180
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NIPS
2001
15 years 7 months ago
2001
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
268
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GECCO
2007
Springer
16 years 14 days ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....