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DCOSS
2006
Springer
13 years 9 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama
SAC
2003
ACM
13 years 10 months ago
TinyGALS: A Programming Model for Event-Driven Embedded Systems
Networked embedded systems such as wireless sensor networks are usually designed to be event-driven so that they are reactive and power efficient. Programming embedded systems wit...
Elaine Cheong, Judith Liebman, Jie Liu, Feng Zhao
CVPR
2011
IEEE
13 years 1 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
NIPS
2007
13 years 6 months ago
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
Amir Globerson, Tommi Jaakkola
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