A survey on pattern recognition applications of support vector machines

Hyeran Byun, Seong Whan Lee

Research output: Contribution to journalArticle

133 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)459-486
Number of pages28
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume17
Issue number3
DOIs
Publication statusPublished - 2003 May 1

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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