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dc.citation.endPage 1392 -
dc.citation.number 6 -
dc.citation.startPage 1386 -
dc.citation.title IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES -
dc.citation.volume E87A -
dc.contributor.author Kim, DJ -
dc.contributor.author Bien, Zeungnam -
dc.date.accessioned 2023-12-22T11:06:10Z -
dc.date.available 2023-12-22T11:06:10Z -
dc.date.created 2014-11-21 -
dc.date.issued 2004-06 -
dc.description.abstract This paper proposes a novel feature selection method for the fuzzy neural networks and presents an application example for 'personalized' facial expression recognition. The proposed method is shown to result in a superior performance than many existing approaches. -
dc.identifier.bibliographicCitation IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E87A, no.6, pp.1386 - 1392 -
dc.identifier.issn 0916-8508 -
dc.identifier.scopusid 2-s2.0-3042638298 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9171 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=3042638298 -
dc.identifier.wosid 000221983900015 -
dc.language 영어 -
dc.publisher IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG -
dc.title A novel feature selection for fuzzy neural networks for personalized facial expression recognition -
dc.type Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

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