Applications of support vector machines for pattern recognition: A survey

Hyeran Byun, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

196 Citations (Scopus)

Abstract

In this paper, we present a comprehensive survey on applications of Support Vector Machines (SVMs) for pattern recognition. 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 numerous applications.

Original languageEnglish
Title of host publicationPattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings
PublisherSpringer Verlag
Pages213-236
Number of pages24
Volume2388
ISBN (Print)354044016X
DOIs
Publication statusPublished - 2002
Event1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002 - Niagara Falls, Canada
Duration: 2002 Aug 102002 Aug 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2388
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002
CountryCanada
CityNiagara Falls
Period02/8/1002/8/10

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Byun, H., & Lee, S. W. (2002). Applications of support vector machines for pattern recognition: A survey. In Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings (Vol. 2388, pp. 213-236). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2388). Springer Verlag. https://doi.org/10.1007/3-540-45665-1_17