A survey on pattern recognition applications of support vector machines

Hyeran Byun, Seong Whan Lee

Research output: Contribution to journalArticle

139 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

Keywords

  • Face detection
  • Face recognition
  • Handwritten character recognition
  • Object recognition
  • Pattern recognition
  • Speech recognition
  • Support Vector Machines

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

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