215 search results - page 7 / 43 » Cuts in Bayesian graphical models |
106
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ECCV
2002
Springer
16 years 15 days ago
2002
Springer
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
JMLR
2010
14 years 5 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
101
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JMLR
2010
14 years 5 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
113
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KDD
1995
ACM
15 years 2 months ago
1995
ACM
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
102
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SCA
2007
15 years 1 months ago
2007
We propose a flexible geometric algorithm for placing arbitrary cracks and incisions on tetrahedralized deformable objects. Although techniques based on remeshing can also accomm...