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Volumn , Issue , 2007, Pages 1609-1616

Multi-instance multi-label learning with application to scene classification

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE VECTORS; LEARNING FRAMEWORKS; MULTI-INSTANCE LEARNING; MULTI-LABEL; MULTIPLE CLASS; MULTIPLE INSTANCES; MULTIPLE PATCHES; REAL-WORLD TASK; SCENE CLASSIFICATION; TRAINING EXAMPLE;

EID: 84864028262     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (421)

References (11)
  • 1
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    • Learning multi-label scene classification
    • M. R. Boutell, J. Luo, X. Shen, and C. M. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004.
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    • Boutell, M.R.1    Luo, J.2    Shen, X.3    Brown, C.M.4
  • 3
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
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  • 4
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple-instance problem with axisparallel rectangles
    • T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez. Solving the multiple-instance problem with axisparallel rectangles. Artificial Intelligence, 89(1-2):31-71, 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 6
    • 84899032037 scopus 로고    scopus 로고
    • Learning with multiple labels
    • S. Becker, S. Thrun, and K. Obermayer, editors. MIT Press, Cambridge, MA
    • R. Jin and Z. Ghahramani. Learning with multiple labels. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 897-904. MIT Press, Cambridge, MA, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 897-904
    • Jin, R.1    Ghahramani, Z.2
  • 8
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • R. E. Schapire and Y. Singer. BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2-3):135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 9
    • 7444219637 scopus 로고    scopus 로고
    • Logistic regression and boosting for labeled bags of instances
    • H. Dai, R. Srikant, and C. Zhang, editors. Springer, Berlin
    • X. Xu and E. Frank. Logistic regression and boosting for labeled bags of instances. In H. Dai, R. Srikant, and C. Zhang, editors, Lecture Notes in Artificial Intelligence 3056, pages 272-281. Springer, Berlin, 2004.
    • (2004) Lecture Notes in Artificial Intelligence , vol.3056 , pp. 272-281
    • Xu, X.1    Frank, E.2
  • 10
    • 84898999828 scopus 로고    scopus 로고
    • EM-DD: An improved multi-instance learning technique
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, MIT Press, Cambridge, MA
    • Q. Zhang and S. A. Goldman. EM-DD: An improved multi-instance learning technique. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 1073-1080. MIT Press, Cambridge, MA, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 1073-1080
    • Zhang, Q.1    Goldman, S.A.2
  • 11
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    • Solving multi-instance problems with classifier ensemble based on constructive clustering
    • in press
    • Z.-H. Zhou and M.-L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering. Knowledge and Information Systems, in press.
    • Knowledge and Information Systems
    • Zhou, Z.-H.1    Zhang, M.-L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.