Results 81 to 90 of about 1,107,982 (188)

Sparse Matrix Belief Propagation

, 2018
We propose sparse-matrix belief propagation, which executes loopy belief propagation in Markov random fields by replacing indexing over graph neighborhoods with sparse-matrix operations.
Bixler, Reid Morris
core  

Iterative Belief Propagation for Sparse Combinatorial Optimization [PDF]

In this note we study an iterative belief propagation (IBP) algorithm and demonstrate it\u27s ability to solve sparse combinatorial optimization problems.
Leleu, Timothée, Reifenstein, Sam
core   +1 more source

A Scalable Method for Group Target Tracking Using Multisensor with Limited Field of Views

Leida xuebao
In practical applications, the field of view and computation resources of an individual sensor are limited, and the development and application of multisensor networks provide more possibilities for solving challenging target tracking problems.
Xuqi ZHANG, Bin ZHOU, Haiqi LIU, Ji LIAO, Yongxu LIU, Guang YANG   +5 more
doaj   +1 more source

Belief-Propagation Assisted Scheduling in Input-Queued Switches [PDF]

, 2012
Cuda, Davide, Giaccone, Paolo, Pretti, Marco, Atalla, Shadi, Pretti, M, Atalla, S, Cuda, D, Giaccone, P   +7 more
core   +1 more source

Soft Histograms for Belief Propagation

, 2014
. Belief propagation methods are powerful tools for various problems in computer vision. While most methods assume a discrete set of labels for each node in the graphical model, there has recently been an increased interest in using real-valued labels ...
Michael Felsberg, Erik Jonsson
core  

Cross validation and segment support for stereo belief propagation

, 2006
Typically, algorithms for generating stereo disparity maps have been developed to minimise the energy equation of a single image. This paper proposes a method for implementing cross validation in a belief propagation optimisation.
M. Evans, J. Ferryman, Evans, M. P., Ferryman, J.   +3 more
core   +1 more source

Belief Propagation in Loopy Bayesian Networks: Experimental Results

, 1997
We investigate the hypothesis that belief propagation "converges with high probability to the correct decision" on a broad class of loopy belief networks.
Gavin B. Horn, Robert J. Mceliece
core  

Complex Gaussian belief propagation algorithms for distributed multicell multiuser MIMO detection

, 2014
In this paper, we considered a practical system where the number of base station antennas serving tens users is large but finite. The signal must be collected before detection, and the optimal maximum a posteriori (MAP) detector has high computational ...
Guo, Qing, Xiang, Wei, Ziqi Yue, Yue, Ziqi, Qing Guo, Wei Xiang   +5 more
core   +1 more source

A spiking neural network implementation of Gaussian belief propagation

Neuromorphic Computing and Engineering
Bayesian inference offers a principled account of information processing in natural agents. However, it remains an open question how neural mechanisms perform their abstract operations.
Sepideh Adamiat, Wouter M Kouw, Bert De Vries   +2 more
doaj   +1 more source

A Simple Insight into Iterative Belief Propagation's Success

, 2003
In non-ergodic belief networks the posterior belief of many queries given evidence may become zero. The paper shows that when belief propagation is applied iteratively over arbitrary networks (the so called, iterative or loopy belief propagation ...
Rina Dechter And
core