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Volumn , Issue , 2008, Pages 467-474

A Framework for classifier adaptation and its applications in concept detection

Author keywords

Adaptive SVM; Classifier adaptation; Multi adaptive SVM; Semantic content detection

Indexed keywords

ADAPTATION ALGORITHMS; CONCEPT DETECTION; DECISION FUNCTIONS; DIFFERENT DOMAINS; FLEXIBLE FRAMEWORK; GENERIC FRAMEWORKS; LABELED DATA; LOSS MINIMIZATION; MANY-TO-ONE; MULTIPLE CLASSIFIERS; SEMANTIC CONCEPT; SEMANTIC CONTENT; SUPERVISED CLASSIFIERS; SVM CLASSIFIERS;

EID: 70450240917     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460171     Document Type: Conference Paper
Times cited : (14)

References (19)
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  • 5
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    • Gauvain, J.1    Lee, C.2
  • 15
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    • Supervised and unsupervised pcfg adaptation to novel domains
    • B. Roark and M. Bacchiani. Supervised and unsupervised pcfg adaptation to novel domains. In Proc. of the 2003 Conf. of NAACL-HLT, pages 126-133, 2003.
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    • Roark, B.1    Bacchiani, M.2
  • 16
    • 85031124575 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • S. Thrun. Is learning the n-th thing any easier than learning the first? In Advances in Neural Information Processing Systems, volume 8, pages 640-646, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 640-646
    • Thrun, S.1
  • 18
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive SVMs
    • J. Yang, R. Yan, and A. Hauptmann. Cross-domain Video Concept Detection using Adaptive SVMs. In ACM Multimedia, 2007.
    • (2007) ACM Multimedia
    • Yang, J.1    Yan, R.2    Hauptmann, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.