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NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 5 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
IPSN
2005
Springer
13 years 11 months ago
Perpetual environmentally powered sensor networks
— Environmental energy is an attractive power source for low power wireless sensor networks. We present Prometheus, a system that intelligently manages energy transfer for perpet...
Xiaofan Jiang, Joseph Polastre, David E. Culler
WSC
2008
13 years 7 months ago
A simulation based scheduling model for call centers with uncertain arrival rates
In this paper we develop a two stage algorithm for scheduling call centers with strict SLAs and arrival rate uncertainty. The first cut schedule can be developed in less than a mi...
Thomas R. Robbins, Terry P. Harrison
GECCO
2000
Springer
140views Optimization» more  GECCO 2000»
13 years 9 months ago
Genetic Algorithms for Component Analysis
Adelino R. Ferreira da Silva
ICA
2007
Springer
13 years 11 months ago
Optimization on the Orthogonal Group for Independent Component Analysis
Abstract. This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the p...
Michel Journée, Pierre-Antoine Absil, Rodol...