Effective Feature Extraction in High-Dimensional Space

被引：33

作者：

Pang, Yanwei ^{[1
]}

Yuan, Yuan ^{[2
]}

Li, Xuelong ^{[3
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

[2] Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England

[3] Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2008年 / 38卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Kernalization; region covariance matrix (RCM);

D O I：

10.1109/TSMCB.2008.927276

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition.

引用

页码：1652 / 1656

页数：5

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