1018 search results - page 30 / 204 » Learning Probabilistic Models of Contours |
IJAR
2006
14 years 9 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
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METMBS
2003
14 years 11 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...
NIPS
2004
14 years 11 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
ICTAI
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...