Coverage in biomimetic pattern recognition

被引：0
|
作者：
Cao, Wenming [1 ,2 ]
Zhao, Guoliang [2 ]
机构：
[1] Shenzhen Univ, Intelligent Informat Proc Key Lab, Beijing 518060, Peoples R China
[2] Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China
来源：
ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS | 2007年 / 4482卷
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Coverage is a kind of method to cover points of same class samples in feature space, which is based on Biomimetic Pattern Recognition. The mathematical description of coverage is given and the discriminant boundary of coverage is shown. Coverage is tested in face recognition on ORL database. Both the COVERAGE and SVM networks are used for covering. The results show that COVERAGE act better than SVM in generalization, especially for small sample set, which are consonant with the result of the applications of BPR.
引用
收藏
页码：534 / +
页数：3
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