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CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 8 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
IPSN
2009
Springer
15 years 4 months ago
Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...
STOC
1998
ACM
125views Algorithms» more  STOC 1998»
15 years 2 months ago
Spot-Checkers
On Labor Day weekend, the highway patrol sets up spot-checks at random points on the freeways with the intention of deterring a large fraction of motorists from driving incorrectl...
Funda Ergün, Sampath Kannan, Ravi Kumar, Roni...
PPSN
1992
Springer
15 years 2 months ago
Hyperplane Annealing and Activator-Inhibitor-Systems
This paper introduces a new optimization technique called hyperplane annealing. It is similar to the mean field annealing approach to combinatorial optimization. Both annealing te...
Thomas Laußermair
ICIP
2007
IEEE
15 years 11 months ago
Determining Topology in a Distributed Camera Network
Recently, `entry/exit' events of objects in the field-of-views of cameras were used to learn the topology of the camera network. The integration of object appearance was also...
Xiaotao Zou, Bir Bhanu, Bi Song, Amit K. Roy Chowd...