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UAI
2004
13 years 10 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
AAAI
2000
13 years 10 months ago
A Consistency-Based Model for Belief Change: Preliminary Report
We present a general, consistency-based framework for belief change. Informally, in revising K by , we begin with and incorporate as much of K as consistently possible. Formally, ...
James P. Delgrande, Torsten Schaub
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 9 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 8 months ago
Network Coding over a Noisy Relay : a Belief Propagation Approach
Abstract— In recent years, network coding has been investigated as a method to obtain improvements in wireless networks. A typical assumption of previous work is that relay nodes...
Sichao Yang, Ralf Koetter
CIARP
2009
Springer
13 years 6 months ago
A Computer-Assisted Colorization Approach Based on Efficient Belief Propagation and Graph Matching
Abstract. Region-based approaches have been proposed to computerassisted colorization problem, typically using shape similarity and topology relations between regions. Given a colo...
Alexandre Noma, Luiz Velho, Roberto M. Cesar