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NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 9 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
14 years 3 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 12 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»
14 years 1 months ago
Genetic Algorithms for Component Analysis
Adelino R. Ferreira da Silva
ICA
2007
Springer
14 years 3 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...