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CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 10 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 10 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
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 10 months ago
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching
—A recent paper [1] proposed a provably optimal polynomial time method for performing near-isometric point pattern matching by means of exact probabilistic inference in a chordal...
Julian John McAuley, Tibério S. Caetano, Ma...
TIT
2010
170views Education» more  TIT 2010»
13 years 4 months ago
Belief propagation estimation of protein and domain interactions using the sum-product algorithm
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...
ECCV
2006
Springer
14 years 12 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...