3677 search results - page 364 / 736 » Is a probabilistic modeling |
193
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ECCV
2010
Springer
15 years 12 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
171
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
152
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ICIP
1999
IEEE
16 years 8 months ago
1999
IEEE
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
192
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
236
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CADE
2008
Springer
16 years 7 months ago
2008
Springer
Many safety- and security-critical systems are real-time systems and, as a result, tools and techniques for verifying real-time systems are extremely important. Simulation and test...