Improvements on the uncorrelated optimal discriminant vectors

被引：14

作者：

Jing, XY ^{[1
]}

Zhang, D

Jin, Z

机构：

[1] Hong Kong Polytech Univ, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China

[2] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China

[3] Nanjing Univ Sci & Technol, Dept Comp, Nanjing 210094, Peoples R China

来源：

PATTERN RECOGNITION | 2003年 / 36卷 / 08期

关键词：

uncorrelated optimal discriminant vectors; improved approach; generalized theorem;

D O I：

10.1016/S0031-3203(02)00319-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The algorithm and the theorem of uncorrelated optimal discriminant vectors (UODV) were proposed by Jin. In this paper, we present new improvements to Jin's method, which include an improved approach for the original algorithm and a generalized theorem for UODV. Experimental results prove that our approach is superior to the original in the recognition rate. (C) 2003 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1921 / 1923

页数：3

共 4 条

[1] A theorem on the uncorrelated optimal discriminant vectors [J].

Jin, Z ;

Yang, JY ;

Tang, ZM ;

Hu, ZS .

PATTERN RECOGNITION, 2001, 34 (10) :2041-2047

[2] Face recognition based on the uncorrelated discriminant transformation [J].

Jin, Z ;

Yang, JY ;

Hu, ZS ;

Lou, Z .

PATTERN RECOGNITION, 2001, 34 (07) :1405-1416

[3]

Ke Liu, 1992, International Journal of Pattern Recognition and Artificial Intelligence, V6, P817, DOI 10.1142/S0218001492000412

[4] Combination of multiple classifiers using local accuracy estimates [J].

Woods, K ;

Kegelmeyer, WP ;

Bowyer, K .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (04) :405-410

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