Automatic pattern recognition by similarity representations

被引：19

作者：

Pekalska, E ^{[1
]}

Duin, RPW ^{[1
]}

机构：

[1] Delft Univ Technol, Dept Appl Phys, Pattern Recognit Grp, NL-2628 CJ Delft, Netherlands

来源：

ELECTRONICS LETTERS | 2001年 / 37卷 / 03期

关键词：

D O I：

10.1049/el:20010121

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The automatic recognition of objects may benefit from using a similarity representation instead of the traditional approach based on features. It is shown that the common use of nearest neighbour classifiers For similarity representations may be improved significantly by other classification rules with respect to recognition accuracy as well as computational complexity.

引用

页码：159 / 160

页数：2

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