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» A Theory of Competitive Analysis for Distributed Algorithms
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GLOBECOM
2008
IEEE
14 years 1 months ago
Robust Distributed Sensor Network Localization Based on Analysis of Flip Ambiguities
Abstract— A major problem in wireless sensor network localization is erroneous local geometric realizations in some parts of the network due to the sensitivity to certain distanc...
Anushiya A. Kannan, Baris Fidan, Guoqiang Mao
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 6 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...
STOC
2004
ACM
94views Algorithms» more  STOC 2004»
14 years 7 months ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld
TNN
1998
111views more  TNN 1998»
13 years 7 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
SPAA
2009
ACM
14 years 2 months ago
Weak graph colorings: distributed algorithms and applications
We study deterministic, distributed algorithms for two weak variants of the standard graph coloring problem. We consider defective colorings, i.e., colorings where nodes of a colo...
Fabian Kuhn