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» Optimal Solutions for Sparse Principal Component Analysis
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64
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EUROPAR
2001
Springer
15 years 2 months ago
A Component Framework for HPC Applications
Abstract. We describe a general component software framework designed for demanding grid environments that provides optimal performance for the assembled component application. Thi...
Nathalie Furmento, Anthony Mayer, Stephen McGough,...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
14 years 10 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
46
Voted
WSC
2004
14 years 11 months ago
Approximating Component Selection
Simulation composability is a difficult capability to achieve due to the challenges of creating components, selecting combinations of components, and integrating the selected comp...
Michael Roy Fox, David C. Brogan, Paul F. Reynolds...
77
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ICANN
2009
Springer
15 years 4 months ago
Adaptive Feature Transformation for Image Data from Non-stationary Processes
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
84
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SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
15 years 4 months ago
A novel method for alignment of 3D models
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) hav...
Mohamed Chaouch, Anne Verroust-Blondet