A survey on pattern recognition applications of support vector machines

Hyeran Byun; Seong Whan Lee

doi:10.1142/S0218001403002460

A survey on pattern recognition applications of support vector machines

Hyeran Byun, Seong Whan Lee

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	459-486
Number of pages	28
Journal	International Journal of Pattern Recognition and Artificial Intelligence
Volume	17
Issue number	3
DOIs	https://doi.org/10.1142/S0218001403002460
Publication status	Published - 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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10.1142/S0218001403002460

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KW - Face detection

KW - Face recognition

KW - Handwritten character recognition

KW - Object recognition

KW - Pattern recognition

KW - Speech recognition

KW - Support Vector Machines

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A survey on pattern recognition applications of support vector machines

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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