Results 271 to 280 of about 16,794 (295)

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.
Thomas Geier, Felix Richter 0001, Susanne Biundo   +2 more
openaire   +1 more source

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.
openaire   +1 more source

Recursive Belief Propagation --- Belief Propagation in a Well-order

Acta Automatica Sinica, 2010
Feng CHEN, Hong LIU, Wen-Li XU
openaire   +1 more source

Belief propagation: technical perspective

Communications of the ACM, 2010
Yair Weiss, Judea Pearl
openaire   +1 more source

Loopy belief propagation based data association for extended target tracking

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

A belief propagation-based method for task allocation in open and dynamic cloud environments

Knowledge-Based Systems, 2017
Yan Kong, Minjie Zhang, Dayong Ye
exaly  

Reduced complexity iterative decoding of low-density parity check codes based on belief propagation

IEEE Transactions on Communications, 1999
M P C Fossorier
exaly  

Efficient Belief Propagation for Early Vision

International Journal of Computer Vision, 2006
Daniel P Huttenlocher, Huttenlocher Daniel P   +1 more
exaly  

Efficient belief propagation for higher-order cliques using linear constraint nodes

Computer Vision and Image Understanding, 2008
Brian Potetz, Tai Sing Lee
exaly  

Quantum Graphical Models and Belief Propagation

Annals of Physics, 2008
M S Leifer
exaly