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Volumn , Issue , 2010, Pages 3907-3910

Cross entropy optimization of the random set framework for multiple instance learning

Author keywords

[No Author keywords available]

Indexed keywords

CROSS ENTROPY; DATA SETS; LANDMINE; MODEL PARAMETERS; MULTIPLE INSTANCE LEARNING; OPTIMIZATION STRATEGY; RANDOM SET; TARGET CONCEPT;

EID: 78149481468     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1114     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 1
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • T. Dietterich, R. 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.1    Lathrop, R.2    Lozano-Pérez, T.3
  • 5
    • 79953271857 scopus 로고    scopus 로고
    • Random Set Framework for Multiple Instance Learning
    • Review
    • J. Bolton and P. Gader, "Random Set Framework for Multiple Instance Learning," Information Sciences, In Review.
    • Information Sciences
    • Bolton, J.1    Gader, P.2
  • 11
    • 60549105876 scopus 로고    scopus 로고
    • Detection and discrimination of land mines in ground-penetrating radar based on edge histogram descriptors and a possibilistic k-nearest neighbor classifier
    • F. H. and G. P., "Detection and discrimination of land mines in ground-penetrating radar based on edge histogram descriptors and a possibilistic k-nearest neighbor classifier," IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 185-199, 2005.
    • (2005) IEEE Transactions on Fuzzy Systems , vol.17 , Issue.1 , pp. 185-199
    • H, F.1    P, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.