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» Combinatorial Markov Random Fields
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UAI
2004
15 years 2 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
CGF
2008
177views more  CGF 2008»
15 years 28 days ago
Expressive Facial Gestures From Motion Capture Data
Human facial gestures often exhibit such natural stochastic variations as how often the eyes blink, how often the eyebrows and the nose twitch, and how the head moves while speaki...
Eunjung Ju, Jehee Lee
JAIR
2006
143views more  JAIR 2006»
15 years 24 days ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
CVIU
2007
136views more  CVIU 2007»
15 years 24 days ago
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
A maximum a posterior probability zero disparity filter (MAP ZDF) ensures coordinated stereo fixation upon an arbitrarily moving, rotating, re-configuring hand, performing mark...
Andrew Dankers, Nick Barnes, Alexander Zelinsky
133
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PAMI
2008
137views more  PAMI 2008»
15 years 23 days ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi