Results 281 to 290 of about 160,175 (304)

Convex combination belief propagation

Applied Mathematics and Computation, 2023
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Grim, Anna, Felzenszwalb, Pedro
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Stereo Matching Using Belief Propagation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
In this paper, we formulate the stereo matching problem as a Markov network and solve it using Bayesian belief propagation. The stereo Markov network consists of three coupled Markov random fields that model the following: a smooth field for depth/disparity, a line process for depth discontinuity, and a binary process for occlusion.
null Jian Sun, null Nan-Ning Zheng, null Heung-Yeung Shum   +2 more
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Iterative decoding beyond belief propagation

2010 Information Theory and Applications Workshop (ITA), 2010
At the heart of modern coding theory lies the fact that low-density parity-check (LDPC) codes can be efficiently decoded by belief propagation (BP). The BP is an inference algorithm which operates on a graphical model of a code, and lends itself to low-complexity and high-speed implementations, making it the algorithm of choice in many applications. It
Planjery, Shiva, Chilappagari, Shashi Kiran, Vasic, Bane, Declercq, David, Danjean, Ludovic   +4 more
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Regularized Gaussian belief propagation

Statistics and Computing, 2017
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Francois Kamper, Johan A. du Preez, Sarel J. Steel, Stephan Wagner   +3 more
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Dithered Belief Propagation Decoding

IEEE Transactions on Communications, 2012
We introduce two dithered belief propagation decoding algorithms to lower the error floor with a minimal hardware overhead. One of the algorithms can additionally improve the decoding performance in the waterfall region using a large iteration limit but with a negligible increase in the average time complexity.
Francois Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross   +3 more
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Shuffled belief propagation decoding

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2003
In this paper, we propose a shuffled version of the belief propagation (BP) algorithm for the decoding of low-density parity-check (LDPC) codes. We show that when the Tanner graph of the code is acyclic and connected, the proposed scheme is optimal in the sense of MAP decoding and converges faster (or at least no slower) than the standard BP algorithm.
null Juntan Zhang, M. Fossorier
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Grid-based belief propagation

2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017
This paper considers the problem of decentralized, cooperative, and dynamic self-localization in wireless sensor networks. In particular, we are interested in a restrictive but very realistic scenario where few anchors are deployed and each anchor whose location is priori known may only communicate with very few agents (e.g.
Yang Song, Chong Xiao Wang, Wee Peng Tay, Choi Look Law   +3 more
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Noise predictive belief propagation

IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005
We introduce iterative noise whitening for belief propagation (BP) based channel detectors over intersymbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm.
M.N. Kaynak, T.M. Duman, E.M. Kurtas
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Noisy belief propagation decoder

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
This paper analyzes the fundamental performance limits of an LDPC Belief Propagation (BP) decoder implemented on noisy hardware and proposes a robust decoder implementation to improve the resilience to hardware errors. Assuming that the effects of hardware noise in various computational units, i.e., variable nodes and check nodes, can be approximated ...
Chu-Hsiang Huang, Yao Li, Lara Dolecek
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Conditioned Belief Propagation Revisited

2014
Belief Propagation (BP) applied to cyclic problems is a well known approximate inference scheme for probabilistic graphical models. To improve the accuracy of BP, a divide-and-conquer approach termed Conditioned Belief Propagation (CBP) has been proposed in the literature.
Geier Thomas, Richter Felix, Biundo Susanne   +2 more
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