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Applications of Support Vector Machines for Pattern Recognition: A Survey

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Pattern Recognition with Support Vector Machines (SVM 2002)

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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.

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Authors and Affiliations

  1. Department of Computer Science, Yonsei University, Shinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea

    Hyeran Byun

  2. Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul, 136-701, Korea

    Seong-Whan Lee

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  1. Hyeran Byun
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Editors and Affiliations

  1. Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-701, Korea

    Seong-Whan Lee

  2. Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Via Dodecaneso 35, 16146, Genova, Italy

    Alessandro Verri

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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. SVM 2002. Lecture Notes in Computer Science, vol 2388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45665-1_17

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