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Volumn , Issue , 2005, Pages 193-200

An interactive system for mental face retrieval

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; ENGINES; INFERENCE ENGINES;

EID: 76249122763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1101826.1101858     Document Type: Conference Paper
Times cited : (12)

References (22)
  • 5
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    • The bayesian image retrieval system, pichunter: Theory, implementation and psychological experiments
    • I. Cox, M. Miller, T. Minka, T. Papathomas, and P. Yianilos. The bayesian image retrieval system, pichunter: theory, implementation and psychological experiments. IEEE Trans. Image Processing, 9:20-37, 2000.
    • (2000) IEEE Trans. Image Processing , vol.9 , pp. 20-37
    • Cox, I.1    Miller, M.2    Minka, T.3    Papathomas, T.4    Yianilos, P.5
  • 10
    • 0035172606 scopus 로고    scopus 로고
    • Image retrieval by relevance feedback: From heuristic weight adjustment to optimal learning methods
    • T. S. Huang and X. S. Zhou. Image retrieval by relevance feedback: from heuristic weight adjustment to optimal learning methods. In invited paper ICIP2001, 2001.
    • (2001) Invited Paper ICIP2001
    • Huang, T.S.1    Zhou, X.S.2
  • 11
    • 0033882353 scopus 로고    scopus 로고
    • Robust coding schemes for indexing and retrieval from large face databases
    • C. Liu and H. Wechsler. Robust coding schemes for indexing and retrieval from large face databases. IEEE Transactions on Image Processing, pages 132-127, 2000.
    • (2000) IEEE Transactions on Image Processing , pp. 132-1127
    • Liu, C.1    Wechsler, H.2
  • 14
    • 26444484722 scopus 로고    scopus 로고
    • Interactive search method for ambiguous target image
    • M. Oda. Interactive search method for ambiguous target image. In Proc. IEEE Intern. Workshop IDB-MMS'96, pages 194-201, 1996.
    • (1996) Proc. IEEE Intern. Workshop IDB-MMS'96 , pp. 194-201
    • Oda, M.1
  • 16
    • 0031339847 scopus 로고    scopus 로고
    • M. S. Content-based image retrieval with relevance feedback: In mars
    • Y. Rui, T. Huang, and M. S. Content-based image retrieval with relevance feedback: in mars. In Proc. IEEE intern.l conf. on Image Processing, pages 815-818, 1997.
    • (1997) Proc. IEEE intern.l Conf. on Image Processing , pp. 815-818
    • Rui, Y.1    Huang, T.2
  • 21
    • 0142169875 scopus 로고    scopus 로고
    • Relevance feedback in content-based image retrieval: Bayesian framework, feature subspace and progressive learning
    • S. Zhong, H.-J. Zhang, S. Li, and S. Ma. Relevance feedback in content-based image retrieval: Bayesian framework, feature subspace and progressive learning. IEEE Transactions on Image Processing, 12(8):924-937, 2003.
    • (2003) IEEE Transactions on Image Processing , vol.12 , Issue.8 , pp. 924-937
    • Zhong, S.1    Zhang, H.-J.2    Li, S.3    Ma, S.4
  • 22
    • 0037708475 scopus 로고    scopus 로고
    • Relevance feedback for image retrieval: A comprehensive review
    • (special issue on CBIR)
    • X. S. Zhou and T. S. Huang. Relevance feedback for image retrieval: a comprehensive review. ACM Multimedia Systems Journal (special issue on CBIR), 8(6):536-544, 2003.
    • (2003) ACM Multimedia Systems Journal , vol.8 , Issue.6 , pp. 536-544
    • Zhou, X.S.1    Huang, T.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.