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Propagation of Gaussian belief functions
1996A Gaussian belief function (GBF) can be intuitively described as a Gaussian distribution over a hyperplane, whose parallel sub-hyperplanes are the focal elements. It includes as special cases non-probabilistic linear equations, statistical observations, multivariate Gaussian distributions, and vacuous belief functions.
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Recursive Belief Propagation --- Belief Propagation in a Well-order
Acta Automatica Sinica, 2010Feng CHEN, Hong LIU, Wen-Li XU
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Improved Belief Propagation List Decoding for Polar Codes
Electronics (Switzerland), 2022Ce Sun, Jingxuan Huang, Huan Li
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Loopy belief propagation based data association for extended target tracking
Chinese Journal of Aeronautics, 2020Yongquan Zhang, Hongbing Ji
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Cooperative Navigation for Low-Cost UAV Swarm Based on Sigma Point Belief Propagation
Remote Sensing, 2022Jun Xiong, Fengyi Song, Mingxing Chen
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A belief propagation-based method for task allocation in open and dynamic cloud environments
Knowledge-Based Systems, 2017Dayong Ye, Minjie Zhang
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Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation
Journal of Computational Biology, 2008Christopher Langmead
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Image Segmentation Using Region-Based Latent Variables and Belief Propagation
Journal of the Physical Society of Japan, 2011Seiji Miyoshi, Masato Okada
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Accurate Belief Propagation with parametric and non-parametric measure for stereo matching
Optik, 2015exaly
Belief propagation: technical perspective
Communications of the ACM, 2010Yair Weiss, Judea Pearl
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