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Volumn 3201, Issue , 2004, Pages 63-74

A boosting approach to multiple instance learning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; IMAGE ANALYSIS; NEURAL NETWORKS; POLYNOMIALS; VECTORS; ARTIFICIAL INTELLIGENCE;

EID: 22944460788     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30115-8_9     Document Type: Conference Paper
Times cited : (68)

References (24)
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  • 5
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    • Irvine, CA: University of California, Department of Information and Computer Science
    • Blake, C.L., Merz, C.J.: UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science (1998)
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 6
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Dietterich, T.G., Lathrop, R.H., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. In: Artif. Intell. 89 (1-2): 31-71 (1997)
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    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: J. Comput. Syst. Sci. 55(1): 119-139 (1997)
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    • Freund, Y.1    Schapire, R.E.2
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    • Object recognition using segmentation for feature detection
    • Accepted for
    • Fussenegger, M., Opelt, A., Pinz, A., Auer, P.: Object recognition using segmentation for feature detection. Accepted for ICPR 2004 (2004)
    • (2004) ICPR 2004
    • Fussenegger, M.1    Opelt, A.2    Pinz, A.3    Auer, P.4
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    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear threshold algorithm
    • Littlestone, N.: Learning quickly when irrelevant attributes abound: A new linear threshold algorithm. In: Machine Learning 2(4): 285-318 (1988)
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    • On generalized multiple-instance learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.