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» Reconstruction for Models on Random Graphs
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ESA
2005
Springer
108views Algorithms» more  ESA 2005»
15 years 8 months ago
Bootstrapping a Hop-Optimal Network in the Weak Sensor Model
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...
Martin Farach-Colton, Rohan J. Fernandes, Miguel A...
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 5 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
ISCAS
2006
IEEE
118views Hardware» more  ISCAS 2006»
15 years 9 months ago
Complex network topologies and synchronization
Synchronization in networks with different topolo- is shown that for typical systems only three main scenarios gies is studied. We show that for a large class of oscillators there ...
Paolo Checco, Mario Biey, Gábor Vattay, Lju...
CORR
2007
Springer
146views Education» more  CORR 2007»
15 years 3 months ago
Coding for Errors and Erasures in Random Network Coding
Abstract—The problem of error-control in random linear network coding is considered. A “noncoherent” or “channel oblivious” model is assumed where neither transmitter nor...
Ralf Koetter, Frank R. Kschischang
ICASSP
2007
IEEE
15 years 9 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung