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» Distributed Kalman Filter via Gaussian Belief Propagation
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CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 4 months ago
Distributed Kalman Filter via Gaussian Belief Propagation
Abstract--Recent result shows how to compute distributively and efficiently the linear MMSE for the multiuser detection problem, using the Gaussian BP algorithm. In the current wor...
Danny Bickson, Ori Shental, Danny Dolev
UAI
2001
13 years 5 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
CVPR
2003
IEEE
14 years 6 months ago
Nonparametric Belief Propagation
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...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
13 years 9 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
CISS
2008
IEEE
13 years 11 months ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai