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» Denoising using local projective subspace methods
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SGP
2007
13 years 11 months ago
Data-dependent MLS for faithful surface approximation
In this paper we present a high-fidelity surface approximation technique that aims at a faithful reconstruction of piecewise-smooth surfaces from a scattered point set. The presen...
Yaron Lipman, Daniel Cohen-Or, David Levin
ICIP
2007
IEEE
14 years 3 months ago
A Novel Kernel Discriminant Analysis for Face Verification
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...
Georgios Goudelis, Stefanos Zafeiriou, Anastasios ...
DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 10 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
ICIP
2002
IEEE
14 years 10 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim
MP
2002
165views more  MP 2002»
13 years 8 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi