112 search results - page 16 / 23 » Bayesian density estimation and model selection using nonpar... |
112
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COGSCI
2008
14 years 10 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
102
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NIPS
2000
15 years 29 days ago
2000
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
151
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
70
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ICML
2005
IEEE
16 years 13 days ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
124
Voted
AVSS
2009
IEEE
15 years 2 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...