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 |
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dc.citation.volume |
E87A |
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dc.contributor.author |
Kim, DJ |
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dc.contributor.author |
Bien, Zeungnam |
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dc.date.accessioned |
2023-12-22T11:06:10Z |
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dc.date.available |
2023-12-22T11:06:10Z |
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dc.date.created |
2014-11-21 |
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dc.date.issued |
2004-06 |
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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. |
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dc.identifier.bibliographicCitation |
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E87A, no.6, pp.1386 - 1392 |
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dc.identifier.issn |
0916-8508 |
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dc.identifier.scopusid |
2-s2.0-3042638298 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/9171 |
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dc.identifier.url |
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=3042638298 |
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dc.identifier.wosid |
000221983900015 |
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dc.language |
영어 |
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dc.publisher |
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG |
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dc.title |
A novel feature selection for fuzzy neural networks for personalized facial expression recognition |
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dc.type |
Article |
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dc.description.journalRegisteredClass |
scie |
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dc.description.journalRegisteredClass |
scopus |
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