A survey on pattern recognition applications of support vector machines

被引：142

作者：

Byun, H ^{[1
]}

Lee, SW

机构：

[1] Yonsei Univ, Dept Comp Sci, Seodaemun Gu, Seoul 120749, South Korea

[2] Korea Univ, Dept Comp Sci & Engn, Seongbuk Ku, Seoul 136701, South Korea

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2003年 / 17卷 / 03期

关键词：

Support Vector Machines; pattern recognition; face detection; face recognition; object recognition; handwritten character recognition; speech recognition;

D O I：

10.1142/S0218001403002460

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a survey on pattern recognition applications of Support Vector Machines (SVMs). Since SVMs show good generalization performance on many real-life data and the approach is properly motivated theoretically, it has been applied to wide range of applications. This paper describes a brief introduction of SVMs and summarizes its various pattern recognition applications.

引用

页码：459 / 486

页数：28

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