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Volumn 2709, Issue , 2003, Pages 356-365

Input space transformations for multi-classifier systems based on n-tuple classifiers with application to handwriting recognition

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; ECONOMIC AND SOCIAL EFFECTS;

EID: 35048822275     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44938-8_36     Document Type: Article
Times cited : (1)

References (18)
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    • Fairhurst, M.C.1    Hoque, M.S.2
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    • Fairhurst, M.C.1    Abdel Whab, H.M.S.2
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    • T. K. Ho. The random subspace method for constructing decision forests. IEEE Trans Pattern Analysis and Machine Intelligence, 20(8):832-844, 1998.
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    • Ho, T.K.1
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    • Intelligent chain-code quantization for multiple classifier-based shape recognition
    • John A. Bullinaria, editor, Birmingham, UK, September
    • S. Hoque, K. Sirlantzis, and M. C. Fairhurst. Intelligent chain-code quantization for multiple classifier-based shape recognition. In John A. Bullinaria, editor, Proc. of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02), pages 61-67, Birmingham, UK, September 2002.
    • (2002) Proc. of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02) , pp. 61-67
    • Hoque, S.1    Sirlantzis, K.2    Fairhurst, M.C.3
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    • Jain, A.K.1    Mao, J.2    Mohiuddin, K.M.3
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    • Digital Systems Research Group (DSRG), Department of Electronics, University of Kent, Canterbury CT2 7NT, United Kingdom
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    • K. Sirlantzis, M. C. Fairhurst, and M. S. Hoque. Genetic algorithms for multiclassifier system configuration: A case study in character recognition. In J. Kittler and F. Roli, editors, Multiple Clasifier Systems, pages 99-108. Springer, 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.