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TWC
2008
133views more  TWC 2008»
13 years 10 months ago
Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
José López Vicario, Roberto Bosisio,...
EWSN
2010
Springer
14 years 7 months ago
Selective Reprogramming of Mobile Sensor Networks through Social Community Detection
Abstract. We target application domains where the behavior of animals or humans is monitored using wireless sensor network (WSN) devices. The code on these devices is updated frequ...
Bence Pásztor, Luca Mottola, Cecilia Mascol...
IPSN
2010
Springer
14 years 5 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
PLDI
1995
ACM
14 years 1 months ago
Selective Specialization for Object-Oriented Languages
Dynamic dispatching is a major source of run-time overhead in object-oriented languages, due both to the direct cost of method lookup and to the indirect effect of preventing othe...
Jeffrey Dean, Craig Chambers, David Grove