Applications of Support Vector Machines for Pattern Recognition: A Survey

  • Hyeran Byun
  • Seong-Whan Lee
Conference paper

DOI: 10.1007/3-540-45665-1_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2388)
Cite this paper as:
Byun H., Lee SW. (2002) Applications of Support Vector Machines for Pattern Recognition: A Survey. In: Lee SW., Verri A. (eds) Pattern Recognition with Support Vector Machines. Lecture Notes in Computer Science, vol 2388. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Hyeran Byun
    • 1
  • Seong-Whan Lee
    • 2
  1. 1.Department of Computer ScienceYonsei UniversitySeoulKorea
  2. 2.Department of Computer Science and EngineeringKorea UniversitySeoulKorea

Personalised recommendations