Results 11 to 20 of about 157,133 (176)
Discriminated Belief Propagation
, 2007 Near optimal decoding of good error control codes is generally a difficult task. However, for a certain type of (sufficiently) good codes an efficient decoding algorithm with near optimal performance exists. These codes are defined via a combination of constituent codes with low complexity trellis representations.
Sorger, Uli
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Research on rumor and anti rumor propagation models based on quantum superposition states [PDF]
Scientific ReportsBuilding an effective rumor propagation model is the key to blocking rumor propagation. This article is based on the quantum superposition theory, analyzing the propagation decision of unknown individuals from the perspectives of consciousness and ...
Wenrong Zheng +4 more
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Gauging tensor networks with belief propagation
SciPost Physics, 2023 Effectively compressing and optimizing tensor networks requires reliable methods for fixing the latent degrees of freedom of the tensors, known as the gauge. Here we introduce a new algorithm for gauging tensor networks using belief propagation, a method
Joseph Tindall, Matt Fishman
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Nonparametric belief propagation [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There exist inference algorithms for discrete approximations to these continuous distributions, but for the high-dimensional variables typically of interest, discrete inference ...
E.B. Sudderth +3 more
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IET Radar, Sonar & Navigation, 2023 The multi‐sensor multiple‐model generalised labelled multi‐Bernoulli filter (MS‐MM‐GLMB) is presented for tracking multiple manoeuvring targets. And we develop efficient implementation for computing multi‐target posterior.
Chenghu Cao, Yongbo Zhao
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Calibrating Distributed Camera Networks Using Belief Propagation
EURASIP Journal on Advances in Signal Processing, 2007 We discuss how to obtain the accurate and globally consistent self-calibration of a distributed camera network, in which camera nodes with no centralized processor may be spread over a wide geographical area.
Richard J. Radke, Dhanya Devarajan
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Predicting epidemic evolution on contact networks from partial observations. [PDF]
PLoS ONE, 2017 The massive employment of computational models in network epidemiology calls for the development of improved inference methods for epidemic forecast. For simple compartment models, such as the Susceptible-Infected-Recovered model, Belief Propagation was ...
Jacopo Bindi +2 more
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Adapting Belief Propagation to Counter Shuffling of NTTs
Transactions on Cryptographic Hardware and Embedded Systems, 2022 The Number Theoretic Transform (NTT) is a major building block in recently introduced lattice based post-quantum (PQ) cryptography. The NTT was target of a number of recently proposed Belief Propagation (BP)-based Side Channel Attacks (SCAs). Ravi et al.
Julius Hermelink +3 more
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Tensor networks contraction and the belief propagation algorithm
Physical Review Research, 2021 Belief propagation is a well-studied message-passing algorithm that runs over graphical models and can be used for approximate inference and approximation of local marginals.
R. Alkabetz, I. Arad
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Generalized Belief Propagation Algorithms for Decoding of Surface Codes [PDF]
Quantum, 2023 Belief propagation (BP) is well-known as a low complexity decoding algorithm with a strong performance for important classes of quantum error correcting codes, e.g.
Josias Old, Manuel Rispler
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