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Volumn 2004-January, Issue January, 2004, Pages

AdaTree: Boosting a weak classifier into a decision tree

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; COST REDUCTION; DATA MINING;

EID: 84932613588     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.296     Document Type: Conference Paper
Times cited : (36)

References (22)
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    • Aslam, J.A.1
  • 3
    • 0002980086 scopus 로고
    • Learning classification trees
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    • Buntine, W.1
  • 4
    • 33644941482 scopus 로고    scopus 로고
    • Object recognitio n by a cascade of edge probes
    • O. Carmichael and M. Hebert. Object recognitio n by a cascade of edge probes. In BMVC, pages 103-112, 2002.
    • (2002) BMVC , pp. 103-112
    • Carmichael, O.1    Hebert, M.2
  • 6
    • 4544380886 scopus 로고    scopus 로고
    • Facial feature detection using adaboost with shape constraints
    • D. Cristinacce and T. Cootes. Facial feature detection using adaboost with shape constraints. In BMVC, volume 1, pages 231-240, 2003.
    • (2003) BMVC , vol.1 , pp. 231-240
    • Cristinacce, D.1    Cootes, T.2
  • 11
    • 0029700730 scopus 로고    scopus 로고
    • On the boosting ability of top-down decision tree learning algorithms
    • M. Kearns and Y. Mansour. On the boosting ability of top-down decision tree learning algorithms. In ACM Symp. on the Th. of Computing pages 459-468, 1996.
    • (1996) ACM Symp. on the Th. of Computing , pp. 459-468
    • Kearns, M.1    Mansour, Y.2
  • 13
    • 3042602006 scopus 로고    scopus 로고
    • Empirical analysis of detection cascades of boosted classifiers for rapid object detection
    • R. Lienhart, A. Kuranov, and V. Pisarevsky. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In DAGM Pattern Recognition Symposium, 2003.
    • (2003) DAGM Pattern Recognition Symposium
    • Lienhart, R.1    Kuranov, A.2    Pisarevsky, V.3
  • 18
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire. The strength of weak learnability. Machine Learning, 5(2):197-227, 1990.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 19
    • 0002595663 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. In ICML, 1997.
    • (1997) ICML
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 20
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms us ing confidence-rated predictions
    • R. E. Schapire and Y. Singer. Improved boosting algorithms us ing confidence-rated predictions. Machine Learning, 37(3):297-336, 1999.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.