Results 11 to 20 of about 1,067,198 (282)
Sigma Point Belief Propagation [PDF]
IEEE Signal Processing Letters, 2014 5 pages, 1 ...
Florian Meyer +2 more
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Loopy belief propagation and probabilistic image processing [PDF]
, 2003 Estimation of hyperparameters by maximization of the marginal likelihood in probabilistic image processing is investigated by using the cluster variation method.
Inoue, J., Tanaka, K., Titterington, M.
core +8 more sources
Belief propagation generalizes backpropagation
CoRR, 2022 The two most important algorithms in artificial intelligence are backpropagation and belief propagation. In spite of their importance, the connection between them is poorly characterized. We show that when an input to backpropagation is converted into an input to belief propagation so that (loopy) belief propagation can be run on it, then the result of
Eaton, Frederik
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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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
Differentiable Nonparametric Belief Propagation
CoRR, 2021 12 pages, 9 ...
Anthony Opipari +5 more
openaire +3 more sources