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Volumn , Issue , 2007, Pages

Improving part based object detection by unsupervised, online boosting

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ONLINE SYSTEMS; UNSUPERVISED LEARNING;

EID: 34948885653     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383148     Document Type: Conference Paper
Times cited : (67)

References (20)
  • 10
    • 34948880178 scopus 로고    scopus 로고
    • N. Oza. AveBoost2: Boosting for Noisy Data. In the Fifth International Workshop on. Multiple Classifier Systems. 2004
    • N. Oza. AveBoost2: Boosting for Noisy Data. In the Fifth International Workshop on. Multiple Classifier Systems. 2004
  • 15
    • 1942483164 scopus 로고    scopus 로고
    • PhD thesis, University of California, Berkeley
    • N. Oza. Online Ensemble Learning. PhD thesis, University of California, Berkeley, 2001.
    • (2001) Online Ensemble Learning
    • Oza, N.1
  • 16
    • 0034250160 scopus 로고    scopus 로고
    • An Experimental Comparision of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting and Randomization
    • T. Dietterich. An Experimental Comparision of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting and Randomization. Machine Learning: 40, 139158, 2000.
    • (2000) Machine Learning , vol.40 , pp. 139158
    • Dietterich, T.1
  • 17
    • 0033281701 scopus 로고    scopus 로고
    • Improved Boosting Algorithms Using Confidence-rated Predictions
    • R. E. Schapire and Y. Singer. Improved Boosting Algorithms Using Confidence-rated Predictions. Machine Learning, 37: 297-336, 1999.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 19
    • 34948906286 scopus 로고    scopus 로고
    • http://homepages.inf.ed.ac.uk/rbf/7CAVIAR/
  • 20
    • 34948911468 scopus 로고    scopus 로고
    • http://isl.ira.uka.de/clear06/?Evaluation.Tasks


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.