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» Sensor Network Localization Using Sensor Perturbation
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125
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IPSN
2010
Springer
15 years 10 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...
119
Voted
ICC
2009
IEEE
150views Communications» more  ICC 2009»
15 years 10 months ago
On the Impact of Correlation on Distributed Detection in Wireless Sensor Networks with Relays Deployment
—In this paper, a binary hypothesis distributed detection problem in correlated wireless sensor networks with cooperative relays deployment is considered. In particular, the effe...
Mohammed W. Baidas, Ahmed S. Ibrahim, Karim G. Sed...
132
Voted
INFOCOM
2010
IEEE
15 years 1 months ago
SafeQ: Secure and Efficient Query Processing in Sensor Networks
The architecture of two-tiered sensor networks, where storage nodes serve as an intermediate tier between sensors and a sink for storing data and processing queries, has been widel...
Fei Chen, Alex X. Liu
144
Voted
MP
2010
162views more  MP 2010»
15 years 1 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
111
Voted
DELTA
2008
IEEE
15 years 5 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...