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Volumn 2, Issue , 2008, Pages 640-645

Instance-level semisupervised multiple instance learning

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; BIONICS; CONTENT BASED RETRIEVAL; DATA STRUCTURES; IMAGE RETRIEVAL; LEARNING SYSTEMS; SUPERVISED LEARNING; TEXT PROCESSING;

EID: 57749176422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (17)
  • 4
    • 84863161940 scopus 로고    scopus 로고
    • Image Categorization by Learning and Reasoning with Regions
    • Chen, Y., and Wang, J. 2004. Image Categorization by Learning and Reasoning with Regions. The Journal of Machine Learning Research 5:913-939.
    • (2004) The Journal of Machine Learning Research , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.2
  • 5
    • 33947180489 scopus 로고    scopus 로고
    • MILES: Multiple-Instance Learning via Embedded Instance Selection
    • Chen, Y.; Bi, J.; and Wang, J. 2006. MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Trans Pattern Anal Mach Intell 28(12): 1931-1947.
    • (2006) IEEE Trans Pattern Anal Mach Intell , vol.28 , Issue.12 , pp. 1931-1947
    • Chen, Y.1    Bi, J.2    Wang, J.3
  • 7
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Dietterich, T.; Lathrop, R.; and Lozano-Perez, T. 1997. Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence 89(1):31-71.
    • (1997) Artificial Intelligence , vol.89 , Issue.1 , pp. 31-71
    • Dietterich, T.1    Lathrop, R.2    Lozano-Perez, T.3
  • 12
    • 0037686659 scopus 로고    scopus 로고
    • The Concave-Convex Procedure
    • Yuille, A., and Rangarajan, A. 2003. The Concave-Convex Procedure. Neural Computation 15(4):915-936.
    • (2003) Neural Computation , vol.15 , Issue.4 , pp. 915-936
    • Yuille, A.1    Rangarajan, A.2
  • 14
    • 0005004572 scopus 로고    scopus 로고
    • A probability anaylsis on the value of unlabeled data for classification problems
    • Zhang, T., and Oles, F. J. 2000. A probability anaylsis on the value of unlabeled data for classification problems. Machine Learning 17:1191-1198.
    • (2000) Machine Learning , vol.17 , pp. 1191-1198
    • Zhang, T.1    Oles, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.