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» Margin Maximizing Discriminant Analysis
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IDA
1999
Springer
15 years 2 months ago
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
A method for the linear discrimination of two classes has been proposed by us in 3 . It searches for the discriminant direction which maximizes the distance between the projected c...
Mayer Aladjem
ICPR
2010
IEEE
15 years 2 months ago
Face Recognition Using a Multi-Manifold Discriminant Analysis Method
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
Wankou Yang, Changyin Sun, Lei Zhang
ICANN
2007
Springer
15 years 1 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
ICPR
2006
IEEE
15 years 3 months ago
Unsupervised Discriminant Projection Analysis for Feature Extraction
This paper develops an unsupervised discriminant projection (UDP) technique for feature extraction. UDP takes the local and non-local information into account, seeking to find a p...
Jian Yang, David Zhang, Zhong Jin, Jing-Yu Yang
IJCNN
2008
IEEE
15 years 4 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