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Volumn 4, Issue , 2004, Pages 3189-3194

Biased support vector machine for relevance feedback in image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL TECHNIQUES; OPTIMIZATION; PROBLEM SOLVING; VECTORS;

EID: 10944244185     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (26)
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    • Image retrieval by relevance feedback: From heuristic weight adjustment to optimal learning methods
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    • T. S. Huang and X. S. Zhou. Image retrieval by relevance feedback: from heuristic weight adjustment to optimal learning methods. In Proc. IEEE International Conference on Image Processing (ICIP'01), Thessaloniki, Greece, October 2001.
    • (2001) Proc. IEEE International Conference on Image Processing (ICIP'01)
    • Huang, T.S.1    Zhou, X.S.2
  • 7
    • 0032164964 scopus 로고    scopus 로고
    • Shape-based retrieval: A case study with trademark image database
    • A. K. Jain and A. Vailaya. Shape-based retrieval: a case study with trademark image database. Pattern Recognition, (9):1369-1390, 1998.
    • (1998) Pattern Recognition , Issue.9 , pp. 1369-1390
    • Jain, A.K.1    Vailaya, A.2
  • 10
    • 33845772427 scopus 로고    scopus 로고
    • Learning when data sets are imbalanced and when costs are unequal and unknown
    • M. Maloof. Learning when data sets are imbalanced and when costs are unequal and unknown. In Workshop on ICML'2003, 2003.
    • (2003) Workshop on ICML'2003
    • Maloof, M.1
  • 17
    • 0000487102 scopus 로고    scopus 로고
    • Constructing boosting algorithms from svms: An application to one-class classification
    • B. Scholkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson. Constructing boosting algorithms from svms: an application to one-class classification. Neural Computation, 13(7):1443-1471, 2001.
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1443-1471
    • Scholkopf, B.1    Platt, J.2    Shawe-Taylor, J.3    Smola, A.J.4    Williamson, R.C.5
  • 20
    • 0035053777 scopus 로고    scopus 로고
    • Relevant feedback using a bayesian classifier in content-based image retrieval
    • January
    • Z. Su, H. Zhang, and S. Ma. Relevant feedback using a bayesian classifier in content-based image retrieval. In SPIE Electronic Imaging 2001, January 2001.
    • (2001) SPIE Electronic Imaging 2001
    • Su, Z.1    Zhang, H.2    Ma, S.3
  • 22
    • 0034792634 scopus 로고    scopus 로고
    • Support vector machine active learning for image retrieval
    • S. Tong and E. Chang. Support vector machine active learning for image retrieval. In Proc. ACM Multimedia, pages 107-118, 2001.
    • (2001) Proc. ACM Multimedia , pp. 107-118
    • Tong, S.1    Chang, E.2
  • 25
    • 0034792490 scopus 로고    scopus 로고
    • Adaptive nearest neighbour search for relevance feedback in large image database
    • P. Wu and B. S. Manjunath. Adaptive nearest neighbour search for relevance feedback in large image database. In ACM Multimedia conference, 2001.
    • (2001) ACM Multimedia Conference
    • Wu, P.1    Manjunath, B.S.2
  • 26
    • 2342504481 scopus 로고    scopus 로고
    • Negative pseudo-relevance feedback in content-based video retrieval
    • Berkeley, CA, USA
    • R. Yan, A. Hauptmann, and R. Jin. Negative pseudo-relevance feedback in content-based video retrieval. In ACM Multimedia (MM'03), Berkeley, CA, USA, 2003.
    • (2003) ACM Multimedia (MM'03)
    • Yan, R.1    Hauptmann, A.2    Jin, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.