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UAI
2000
15 years 2 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
CORR
2011
Springer
204views Education» more  CORR 2011»
14 years 7 months ago
Accelerated Dual Descent for Network Optimization
—Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rat...
Michael Zargham, A. Ribeiro, Ali Jadbabaie, Asuman...
INFOCOM
2006
IEEE
15 years 7 months ago
Proportional Replication in Peer-to-Peer Networks
— We recently showed for peer-to-peer networks, that having the number of replicas of each object proportional to the request rate for these objects has many per-node advantages....
Saurabh Tewari, Leonard Kleinrock
GSN
2009
Springer
140views Sensor Networks» more  GSN 2009»
15 years 5 months ago
Estimation of Pollutant-Emitting Point-Sources Using Resource-Constrained Sensor Networks
We present an algorithm that makes an appropriate use of a Kalman filter combined with a geometric computation with respect to the localisation of a pollutant-emitting point sourc...
Michael Zoumboulakis, George Roussos
ICDCS
2006
IEEE
15 years 7 months ago
GMP: Distributed Geographic Multicast Routing in Wireless Sensor Networks
In this paper, we propose a novel Geographic Multicast routing Protocol (GMP) for wireless sensor networks1 . The proposed protocol is fully distributed and stateless. Given a set...
Shibo Wu, K. Selçuk Candan