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» Topology for Distributed Inference on Graphs
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ADHOCNOW
2005
Springer
15 years 9 months ago
Performance Analysis of the Hierarchical Layer Graph for Wireless Networks
The Hierarchical Layer Graph (HL graph) is a promising network topology for wireless networks with variable transmission ranges. It was introduced and analyzed by Meyer auf der He...
Stefan Rührup, Christian Schindelhauer, Klaus...
ALGOSENSORS
2010
Springer
15 years 3 months ago
MSDR-D Network Localization Algorithm
Abstract. We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. T...
Kevin Coogan, Varun Khare, Stephen G. Kobourov, Ba...
117
Voted
ICPP
1999
IEEE
15 years 8 months ago
The Index-Permutation Graph Model for Hierarchical Interconnection Networks
In this paper, we present the index-permutation (IP) graph model, and apply it to the systematic development of efficient hierarchical networks. We derive several classes of inter...
Chi-Hsiang Yeh, Behrooz Parhami
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 4 months ago
Loop corrections for approximate inference
We propose a method to improve approximate inference methods by correcting for the influence of loops in the graphical model. The method is a generalization and alternative implem...
Joris M. Mooij, Bert Kappen
127
Voted
NIPS
2004
15 years 5 months ago
Expectation Consistent Free Energies for Approximate Inference
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Manfred Opper, Ole Winther