A NOTE ON THE ORTHONORMAL DISCRIMINANT VECTOR METHOD FOR FEATURE-EXTRACTION

被引：13
作者：
HAMAMOTO, Y
MATSUURA, Y
KANAOKA, T
TOMITA, S
机构：
[1] Department of Electronics, Faculty of Engineering, Yamaguchi University, Ube
来源：
PATTERN RECOGNITION | 1991年 / 24卷 / 07期
关键词：
FEATURE EXTRACTION; FEATURE SELECTION; DISCRIMINANT ANALYSIS; DIMENSIONALITY REDUCTION; PATTERN RECOGNITION;
D O I：
10.1016/0031-3203(91)90035-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a new feature extraction method based on the modified "plus e-take away f" algorithm and discuss an aspect of the optimization method used in sequential feature extraction, by comparing the proposed method with the orthonormal discriminant vector (ODV) method which belongs to a class of sequential feature extraction. It is shown from experimental results that the proposed method is superior to the ODV method in terms of the error probability.
引用
收藏
页码：681 / 684
页数：4
相关论文
共 14 条
12