2103 search results - page 186 / 421 » Approximate Learning of Dynamic Models |
178
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CVBIA
2005
Springer
15 years 11 months ago
2005
Springer
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
158
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ISWC
2002
IEEE
15 years 11 months ago
2002
IEEE
The Parasitic Humanoid (PH) is a wearable robot for modeling nonverbal human behavior. This anthropomorphic robot senses the behavior of the wearer and has the internal models to ...
145
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
193
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METMBS
2003
15 years 7 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
140
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AAAI
2000
15 years 7 months ago
2000
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...