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» Simulation Optimization: Methods and Applications
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CN
2004
108views more  CN 2004»
15 years 3 months ago
Smart dust, friend or foe?--Replacing identity with configuration trust
Smart dust motes are miniature self-contained systems that may be deployed in very large numbers. In military applications these devices are subject to different threats than conv...
Howard Chivers, John A. Clark
97
Voted
TSP
2010
14 years 10 months ago
Source extraction by maximizing the variance in the conditional distribution tails
This paper presents a method for signal extraction based on conditional second-order moments of the output of the extraction filter. The estimator of the filter is derived from an ...
Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu

Book
357views
17 years 1 months ago
Foundations of Constraint Satisfaction
"Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many a...
Edward Tsang
111
Voted
ACCV
2009
Springer
15 years 10 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
CISIM
2008
IEEE
15 years 9 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...