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IJCNN
2008
IEEE
16 years 1 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
IJCNN
2008
IEEE
16 years 1 months ago
Semi-supervised nearest neighbor editing
—This paper proposes a novel method for data editing. The goal of data editing in instance-based learning is to remove instances from a training set in order to increase the accu...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoun...
ICANN
2007
Springer
16 years 23 days ago
Selection of Basis Functions Guided by the L2 Soft Margin
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Ignacio Barrio, Enrique Romero, Lluís Belan...
IWANN
2007
Springer
16 years 23 days ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
IJCNN
2006
IEEE
16 years 19 days ago
Recognizing Human Emotion from Partial Facial Features
—Recognizing human emotions from partial facial features is quite hard to achieve reasonable accuracy. In this paper, we propose to use a tree structure representation to simulat...
Jia-Jun Wong, Siu-Yeung Cho