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Propagation of Gaussian belief functions

1996
A 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, 2010
Feng CHEN, Hong LIU, Wen-Li XU
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Improved Belief Propagation List Decoding for Polar Codes

Electronics (Switzerland), 2022
Ce Sun, Jingxuan Huang, Huan Li
exaly  

Loopy belief propagation based data association for extended target tracking

Chinese Journal of Aeronautics, 2020
Yongquan Zhang, Hongbing Ji
exaly  

Cooperative Navigation for Low-Cost UAV Swarm Based on Sigma Point Belief Propagation

Remote Sensing, 2022
Jun Xiong, Fengyi Song, Mingxing Chen
exaly  

Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation

Journal of Computational Biology, 2008
Christopher Langmead
exaly  

Image Segmentation Using Region-Based Latent Variables and Belief Propagation

Journal of the Physical Society of Japan, 2011
Seiji Miyoshi, Masato Okada
exaly  

Belief propagation: technical perspective

Communications of the ACM, 2010
Yair Weiss, Judea Pearl
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