A survey on pattern recognition applications of support vector machines

Hyeran Byun, Seong Whan Lee

    Research output: Contribution to journalArticlepeer-review

    186 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

    Bibliographical note

    Funding Information:
    This research was supported by the Brain Neuroinfomatics Research Program and the Creative Research Initiative Program of the Ministry of Science and Technology, Korea.

    Keywords

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

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Artificial Intelligence

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