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A survey on pattern recognition applications of support vector machines

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dc.contributor.authorByun, H-
dc.contributor.authorLee, SW-
dc.date.accessioned2021-09-09T12:26:54Z-
dc.date.available2021-09-09T12:26:54Z-
dc.date.created2021-06-18-
dc.date.issued2003-05-
dc.identifier.issn0218-0014-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/124357-
dc.description.abstractIn 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.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD-
dc.subjectFACE DETECTION-
dc.subjectCLASSIFICATION-
dc.subjectGENDER-
dc.subjectIMAGES-
dc.subjectPOSE-
dc.titleA survey on pattern recognition applications of support vector machines-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, SW-
dc.identifier.doi10.1142/S0218001403002460-
dc.identifier.wosid000183574300009-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.17, no.3, pp.459 - 486-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE-
dc.citation.titleINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE-
dc.citation.volume17-
dc.citation.number3-
dc.citation.startPage459-
dc.citation.endPage486-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordPlusFACE DETECTION-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusGENDER-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordPlusPOSE-
dc.subject.keywordAuthorSupport Vector Machines-
dc.subject.keywordAuthorpattern recognition-
dc.subject.keywordAuthorface detection-
dc.subject.keywordAuthorface recognition-
dc.subject.keywordAuthorobject recognition-
dc.subject.keywordAuthorhandwritten character recognition-
dc.subject.keywordAuthorspeech recognition-
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