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» Belief Update Using Graphs
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KR
2004
Springer
14 years 3 months ago
Updating of a Possibilistic Knowledge Base by Crisp or Fuzzy Transition Rules
In this paper, partial knowledge about the possible transitions which can take place in a dynamical environment is represented by a set of pairs of propositional formulae, with th...
Boris Mailhé, Henri Prade
ECCV
2006
Springer
14 years 11 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
AAAI
2007
13 years 12 months ago
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
Prashant Doshi
ISM
2006
IEEE
122views Multimedia» more  ISM 2006»
14 years 3 months ago
SuperGraph Visualization
Given a large social or computer network, how can we visualize it, find patterns, outliers, communities? Although several graph visualization tools exist, they cannot handle larg...
José Fernando Rodrigues Jr., Agma J. M. Tra...
NIPS
2000
13 years 11 months ago
Generalized Belief Propagation
In an important recent paper, Yedidia, Freeman, and Weiss [11] showed that there is a close connection between the belief propagation algorithm for probabilistic inference and the...
Jonathan S. Yedidia, William T. Freeman, Yair Weis...