Sciweavers

895 search results - page 131 / 179
» Approximate convex decomposition
Sort
View
ICONIP
2007
14 years 11 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ESANN
2003
14 years 11 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
CSDA
2007
128views more  CSDA 2007»
14 years 9 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
JNW
2007
118views more  JNW 2007»
14 years 9 months ago
Alternate Routing in Tandem Traffic-Groomed Optical Networks
— Recent advances in telecommunication networks have allowed WDM to emerge as a viable solution to the ever-increasing demands of the Internet. Because these networks carry large...
Alicia Nicki Washington, Harry G. Perros
COMPUTING
2004
115views more  COMPUTING 2004»
14 years 9 months ago
Length Preserving Multiresolution Editing of Curves
In this paper a method for multiresolution deformation of planar piecewise linear curves that preserves the curve length is presented. In a wavelet based multiresolution editing f...
Basile Sauvage, Stefanie Hahmann, Georges-Pierre B...