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» Nonparametric Belief Propagation
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IJAR
2000
140views more  IJAR 2000»
14 years 9 months ago
Belief updating in multiply sectioned Bayesian networks without repeated local propagations
Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...
Yang Xiang
TIT
2002
146views more  TIT 2002»
14 years 9 months ago
Bounds on the performance of belief propagation decoding
We consider Gallager's soft decoding (belief propagation) algorithm for decoding low density parity check (LDPC) codes, when applied to an arbitrary binary-input symmetric-ou...
David Burshtein, Gadi Miller
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
BCB
2010
140views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
NIPS
1996
14 years 11 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss