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Volumn , Issue , 2013, Pages 1862-1868

Multi-Instance Multi-Label learning with weak label

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; DATA OBJECTS; IMAGE ANNOTATION; LARGE MARGINS; LEARNING PROBLEM; MULTI-INSTANCE MULTI-LABEL LEARNING; REAL APPLICATIONS; TRAINING EXAMPLE;

EID: 84896061460     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (24)
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    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 4
    • 70349453938 scopus 로고    scopus 로고
    • Transductive multiinstance multi-label learning algorithm with application to automatic image annotation
    • S. Feng and D. Xu. Transductive multiinstance multi-label learning algorithm with application to automatic image annotation. Expert Systems with Applications, 37(1):661-670, 2010.
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    • Feng, S.1    Xu, D.2
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    • 84898935332 scopus 로고    scopus 로고
    • A framework for multiple-instance learning
    • M. I. Jordan, M. J. Kearns, and S. A. Solla, editors. MIT Press, Cambridge, MA
    • O. Maron and T. Lozano- Pérez. A framework for multiple-instance learning. In M. I. Jordan, M. J. Kearns, and S. A. Solla, editors, Advances in Neural Information Processing Systems 10, pages 570-576. MIT Press, Cambridge, MA, 1998.
    • (1998) Advances in Neural Information Processing Systems , vol.10 , pp. 570-576
    • Maron, O.1    Lozano-Pérez, T.2
  • 14
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47, 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 17
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for nondifferentiable minimization
    • P. Tseng. Convergence of a block coordinate descent method for nondifferentiable minimization. Journal of optimization theory and applications, 109(3):475-494, 2001.
    • (2001) Journal of Optimization Theory and Applications , vol.109 , Issue.3 , pp. 475-494
    • Tseng, P.1
  • 20
    • 84863338235 scopus 로고    scopus 로고
    • Dirichlet-bernoulli alignment: A generative model for multi-class multi-label multi-instance corpora
    • Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors. MIT Press, Cambridge, MA
    • S.-H. Yang, H. Zha, and B.-G. Hu. Dirichlet-bernoulli alignment: A generative model for multi-class multi-label multi-instance corpora. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 2143-2150. MIT Press, Cambridge, MA, 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 2143-2150
    • Yang, S.-H.1    Zha, H.2    Hu, B.-G.3
  • 22
    • 69249202332 scopus 로고    scopus 로고
    • MIMLRBF: RBF neural networks for multi-instance multi-label learning
    • M.-L. Zhang and Z.-J. Wang. MIMLRBF: RBF neural networks for multi-instance multi-label learning. Neurocomputing, 72(16-18):3951-3956, 2009.
    • (2009) Neurocomputing , vol.72 , Issue.16-18 , pp. 3951-3956
    • Zhang, M.-L.1    Wang, Z.-J.2
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    • Multi-instance multi-label learning with application to scene classification
    • B. Schölkopf, J. Platt, and T. Hoffman, editors. MIT Press, Cambridge, MA
    • Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 1609-1616. MIT Press, Cambridge, MA, 2006.
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    • Zhou, Z.-H.1    Zhang, M.-L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.