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CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 3 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
16 years 1 days 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...
131
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STOC
1998
ACM
125views Algorithms» more  STOC 1998»
15 years 9 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...
145
Voted
PPSN
1992
Springer
15 years 9 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
162
Voted
ICIP
2007
IEEE
16 years 7 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...