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Volumn 2, Issue , 2011, Pages 557-563

Supervised object segmentation using visual and spatial features

Author keywords

Computer vision; Image segmentation; Machine learning; Multiple instance learning; Object recognition

Indexed keywords

COLOR AND TEXTURE FEATURES; IMAGE OBJECTS; LOW-LEVEL COLOR; MULTIPLE INSTANCE LEARNING; NAIVE BAYESIAN CLASSIFIER; OBJECT OF INTERESTS; OBJECT SEGMENTATION; SEGMENTATION PERFORMANCE; SPATIAL CONTEXT; SPATIAL FEATURES; SPATIAL RELATIONSHIPS; TRAINING DATA;

EID: 84864913768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 1
    • 0029394326 scopus 로고
    • Adaptive image segmentation using genetic and hybrid search methods
    • B. Bhanu, S. Lee, and S. Das, "Adaptive image segmentation using genetic and hybrid search methods," IEEE Transactions on Aerospace and Electronic Systems, vol. 31, no. 4, pp. 1268-1291, 1995.
    • (1995) IEEE Transactions on Aerospace and Electronic Systems , vol.31 , Issue.4 , pp. 1268-1291
    • Bhanu, B.1    Lee, S.2    Das, S.3
  • 4
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez, "Solving the multiple instance problem with axis-parallel rectangles," Artificial Intelligence, vol. 89, no. 1-2, pp. 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
  • 7
    • 84898935332 scopus 로고    scopus 로고
    • A framework for multiple-instance learning
    • M. I. Jordan, M. J. Kearns, and S. A. Solla, Eds. MIT Press
    • O. Maron and T. Lozano-Pérez, "A framework for multiple-instance learning," in Advances in Neural Information Processing Systems, M. I. Jordan, M. J. Kearns, and S. A. Solla, Eds., vol. 10. MIT Press, 1998.
    • (1998) Advances in Neural Information Processing Systems , vol.10
    • Maron, O.1    Lozano-Pérez, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.