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Volumn 2, Issue , 2006, Pages 2057-2063

Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning

Author keywords

[No Author keywords available]

Indexed keywords

FALSE NEGATIVES; IMAGE ANNOTATION; MULTIPLE-INSTANCE LEARNING (MIL); SUPPORT VECTOR MACHINE;

EID: 33845562302     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.250     Document Type: Conference Paper
Times cited : (160)

References (17)
  • 4
    • 24644495320 scopus 로고    scopus 로고
    • Formulating semantics image annotation as a supervised learning problem
    • O. Carneiro and N. Vasconcelos. Formulating semantics image annotation as a supervised learning problem. In Proc. IEEE CVPR. 2005.
    • (2005) Proc. IEEE CVPR
    • Carneiro, O.1    Vasconcelos, N.2
  • 6
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Y. Chen and J. Wang. Image categorization by learning and reasoning with regions. Journal of Machine Learning Research, 5:913-939, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.2
  • 7
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multipleinstance problem with the axis-parallel rectangles
    • T. Dietterich, R. Lathrop, and T. Lozano-Perez. Solving the multipleinstance problem with the axis-parallel rectangles. Artificial Intelligence, pages 31-71, 1997.
    • (1997) Artificial Intelligence , pp. 31-71
    • Dietterich, T.1    Lathrop, R.2    Lozano-Perez, T.3
  • 8
    • 0038401728 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • P. Duygulu, K. Barnard, J. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proc. of ECCV, volume 4, pages 97-112, 2002.
    • (2002) Proc. of ECCV , vol.4 , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    De Freitas, J.3    Forsyth, D.4
  • 9
    • 13444267387 scopus 로고    scopus 로고
    • Multi-level annotation of natural scenes using dominant image components and semantic concepts
    • J. Fan, Y. Gao, and H. Luo. Multi-level annotation of natural scenes using dominant image components and semantic concepts. In Proc. of ACM Multimedia, pages 540-547, 2004.
    • (2004) Proc. of ACM Multimedia , pp. 540-547
    • Fan, J.1    Gao, Y.2    Luo, H.3
  • 10
    • 5044225521 scopus 로고    scopus 로고
    • Multiple bernoulli relevance models for image and video annotation
    • S. L. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. In Proc. of IEEE CVPR, volume 1, pages 1002-1009, 2004.
    • (2004) Proc. of IEEE CVPR , vol.1 , pp. 1002-1009
    • Feng, S.L.1    Manmatha, R.2    Lavrenko, V.3
  • 14
    • 0030646927 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • Puerto Rico
    • J. Shi and J. Malik. Normalized cuts and image segmentation. In Proc. of IEEE CVPR, Puerto Rico, 1997.
    • (1997) Proc. of IEEE CVPR
    • Shi, J.1    Malik, J.2
  • 15
    • 0141596676 scopus 로고    scopus 로고
    • Solving the multiple-instance problem: A lazy learning approach
    • J. Wang and J.-D. Zucker. Solving the multiple-instance problem: a lazy learning approach. In Proc. of the 17th ICML, pages 1119-1125, 2000.
    • (2000) Proc. of the 17th ICML , pp. 1119-1125
    • Wang, J.1    Zucker, J.-D.2
  • 16
    • 33749632828 scopus 로고    scopus 로고
    • Image content annotation using bayesian framework and complement components analysis
    • Genova, Italy
    • C. Yang, M. Dong, and F. Fotouhi. Image content annotation using bayesian framework and complement components analysis. In Proc. of IEEE ICIP, Genova, Italy, 2005.
    • (2005) Proc. of IEEE ICIP
    • Yang, C.1    Dong, M.2    Fotouhi, F.3
  • 17
    • 80052898759 scopus 로고    scopus 로고
    • Region-based image annotation through multiple-instance learning
    • Singapore
    • C. Yang, M. Dong, and F. Fotouhi. Region-based image annotation through multiple-instance learning. In Proc. of ACM Multimedia, Singapore, 2005.
    • (2005) Proc. of ACM Multimedia
    • Yang, C.1    Dong, M.2    Fotouhi, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.