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Volumn 2096, Issue , 2001, Pages 168-177

Information analysis of multiple classifier fusion?

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

EID: 84957023260     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48219-9_17     Document Type: Conference Paper
Times cited : (18)

References (18)
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    • Grim J., Kittler J., Pudil P., Somol P.: Combining multiple classifiers in probabilistic neural networks. In Multiple Classifier Systems, Kittler J., Roli F., (Eds.), Springer, 2000, pp 157-166.
    • (2000) Multiple Classifier Systems , pp. 157-166
    • Grim, J.1    Kittler, J.2    Pudil, P.3    Somol, P.4
  • 4
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    • On virtually binary nature of probabilistic neural networks
    • Sydney, August 11 - 13, 1998), A. Amin, D. Dori, P. Pudil, H. Freeman (Eds.), Springer: New York, Berlin
    • Grim J., Pudil P.: On virtually binary nature of probabilistic neural networks. In: Advances in Pattern Recognition, Sydney, August 11 - 13, 1998, A. Amin, D. Dori, P. Pudil, H. Freeman (Eds.), pp. 765-774, Springer: New York, Berlin, 1998.
    • (1998) Advances in Pattern Recognition , pp. 765-774
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    • Berlin, 2000. (Bothe H., Rojas R. eds.). ICSC, Wetaskiwin
    • Grim J., Pudil P., Somol P.: Recognition of handwritten numerals by structural probabilistic neural networks. In Proceedings of the Second ICSC Symposium on Neural Computation, Berlin, 2000. (Bothe H., Rojas R. eds.). ICSC, Wetaskiwin, 2000, pp 528-534.
    • (2000) Proceedings of the Second ICSC Symposium on Neural Computation , pp. 528-534
    • Grim, J.1    Pudil, P.2    Somol, P.3
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    • A method of combining multiple classifiers - A neural network approach
    • Los Alamitos: IEEE Comp. Soc. Press
    • Huang Y.S., Suen C.Y.: A method of combining multiple classifiers - a neural network approach. In Proc. 12th IAPR Int. Conf. on Pattern Recognition and Computer Vision, Los Alamitos: IEEE Comp. Soc. Press., 1994, pp 473-475.
    • (1994) Proc. 12Th IAPR Int. Conf. On Pattern Recognition and Computer Vision , pp. 473-475
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    • Kittler J.: Combining classifiers: A theoretical framework. Pattern Analysis and Applications 1998; 1:18-27.
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    • A theoretical analysis of the application of majority voting to pattern recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.