Results 11 to 20 of about 16,794 (295)
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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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 ...
Erik B. Sudderth +3 more
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Belief propagation in monoidal categories [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 We discuss a categorical version of the celebrated belief propagation algorithm. This provides a way to prove that some algorithms which are known or suspected to be analogous, are actually identical when formulated generically. It also highlights the
Jason Morton
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Kernel Belief Propagation [PDF]
CoRR, 2011 We propose a nonparametric generalization of belief propagation, Kernel Belief Propagation (KBP), for pairwise Markov random fields. Messages are represented as functions in a reproducing kernel Hilbert space (RKHS), and message updates are simple linear operations in the RKHS.
Le Song +4 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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Counting Belief Propagation [PDF]
CoRR, 2012 A major benefit of graphical models is that most knowledge is captured in the model structure. Many models, however, produce inference problems with a lot of symmetries not reflected in the graphical structure and hence not exploitable by efficient inference techniques such as belief propagation (BP).
Kristian Kersting +2 more
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Belief Propagation as Diffusion [PDF]
, 2021 We introduce novel belief propagation algorithms to estimate the marginals of a high dimensional probability distribution. They involve natural (co)homological constructions relevant for a localised description of statistical systems.
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On the convergence of iterative belief propagation [PDF]
2009 IEEE International Symposium on Information Theory, 2009 The convergence of iterative decoding schemes utilizing belief propagation is considered. A quantitative bound for the output L-values of a Turbo decoder is given that only depends on the received word and thus is independent from the decoder iterations. Further, it is shown that the exponential increase of the L-values in each iteration within an LDPC
Heim, A., SORGER, Ulrich
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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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