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Volumn 38, Issue 6, 2005, Pages 887-901

Boosting image classification with LDA-based feature combination for digital photograph management

Author keywords

Boosting algorithm; Image classification; LDA based feature combination; Training acceleration

Indexed keywords

COLOR; CORRELATION METHODS; FEATURE EXTRACTION; LEARNING ALGORITHMS; METADATA; OBJECT RECOGNITION; PHOTOGRAPHY; PRODUCT DEVELOPMENT; SEMANTICS;

EID: 14644440462     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2004.11.008     Document Type: Article
Times cited : (41)

References (14)
  • 1
    • 0032663356 scopus 로고    scopus 로고
    • Image retrieval: Current techniques, promising directions, and open issues
    • Y. Rui, T.S. Huang, and S.F. Chang Image retrieval current techniques, promising directions, and open issues J. Visual Commun. Image Representation 10 1999 39 62
    • (1999) J. Visual Commun. Image Representation , vol.10 , pp. 39-62
    • Rui, Y.1    Huang, T.S.2    Chang, S.F.3
  • 7
    • 14644445383 scopus 로고    scopus 로고
    • An online training and online testing algorithm for OCR and image orientation classification using hierarchical discriminant regression
    • December
    • W. Hwang, J. Weng, An online training and online testing algorithm for OCR and image orientation classification using hierarchical discriminant regression, in: Proceedings of the Fourth IAPR International Workshop on Document Analysis Systems, December, 2000.
    • (2000) Proceedings of the Fourth IAPR International Workshop on Document Analysis Systems
    • Hwang, W.1    Weng, J.2
  • 12
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting J. Comput. System Sci. 55 1 1997 119 139
    • (1997) J. Comput. System Sci. , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.