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Volumn 6067, Issue , 2006, Pages

Optimally combining a cascade of classifiers

Author keywords

Branch and bound; Classification accuracy; Classification speed; Combining classifiers; Rejection thresholds

Indexed keywords

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); ERROR ANALYSIS;

EID: 33645672417     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.643669     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 2
    • 33751584745 scopus 로고    scopus 로고
    • The combining classifier: To train or not to train?
    • RPW. Duin, "The Combining Classifier: To Train or Not to Train?" Intl. Conf. on Pattern Recognition (2), pp. 765-770, 2002.
    • (2002) Intl. Conf. on Pattern Recognition , Issue.2 , pp. 765-770
    • Duin, R.P.W.1
  • 6
    • 84945919394 scopus 로고    scopus 로고
    • A majority voting scheme for multiresolution recognition of handprinted numerals
    • 3-6 Aug.
    • U. Bhattacharya and B. B. Chaudhuri, "A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals," ICDAR'03, pp. 16-20, 3-6 Aug. 2003.
    • (2003) ICDAR'03 , pp. 16-20
    • Bhattacharya, U.1    Chaudhuri, B.B.2
  • 7
    • 84945900998 scopus 로고    scopus 로고
    • Best practice for convolutional neural networks applied to visual document analysis
    • PY Simard, D Steinkraus, and J Platt, (2003) "Best Practice for Convolutional Neural Networks Applied to Visual Document Analysis," in ICDAR'03, pp. 958-962.
    • (2003) ICDAR'03 , pp. 958-962
    • Simard, P.Y.1    Steinkraus, D.2    Platt, J.3
  • 8
    • 33645694549 scopus 로고    scopus 로고
    • Combining multiple classifiers for fast optical character recognition
    • submitted to
    • Chellapilla K, Shilman M, and Simard P, "Combining Multiple Classifiers for Fast Optical Character Recognition," submitted to Document Analysis Systems (2006).
    • (2006) Document Analysis Systems
    • Chellapilla, K.1    Shilman, M.2    Simard, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.