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» Linear Discriminant Analysis for Signatures
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WACV
2002
IEEE
14 years 2 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
ADAC
2010
105views more  ADAC 2010»
13 years 10 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems
ICML
2003
IEEE
14 years 10 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
FTCS
1993
111views more  FTCS 1993»
13 years 11 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
SMI
2006
IEEE
183views Image Analysis» more  SMI 2006»
14 years 3 months ago
The Generalized Shape Distributions for Shape Matching and Analysis
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
Yi Liu, Hongbin Zha, Hong Qin