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Volumn 1, Issue , 2003, Pages

Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; DATABASE SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; VECTORS;

EID: 17744409615     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (91)

References (15)
  • 5
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Scholkopf, C. Burges, and A. Smola; MIT Press, Cambridge, MA, December
    • T. Joachims. Making large-scale support vector machine learning practical. B. Scholkopf, C. Burges, and A. Smola. Advances in Kernel Methods: Support Vector Machines, MIT Press, Cambridge, MA, December, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 7
    • 0003993338 scopus 로고    scopus 로고
    • An image database browser that learns from user interaction
    • Master's Thesis of MIT
    • T. Minka. An image database browser that learns from user interaction. Master's Thesis of MIT, 1996.
    • (1996)
    • Minka, T.1
  • 8
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • K. Nigam, A. K. McCallum, S. Thrun, and T. M. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.