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Volumn , Issue , 1999, Pages 233-236

Neural versus syntactic recognition of handwritten numerals

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; MULTILAYER NEURAL NETWORKS; NUMERICAL METHODS; RECURRENT NEURAL NETWORKS;

EID: 84861894580     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1999.791767     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 0030784110 scopus 로고    scopus 로고
    • Neural-network classifiers for recognizing totally unconstrained handwritten numeral
    • Jan.
    • Cho, S.-B. Neural-Network Classifiers for Recognizing Totally Unconstrained Handwritten Numeral. Transactions on Neural Networks, 8(1):43-53, Jan. 1997.
    • (1997) Transactions on Neural Networks , vol.8 , Issue.1 , pp. 43-53
    • Cho, S.-B.1
  • 3
    • 0026955102 scopus 로고
    • Handwritten digit recognition by neural networks with single-layer training
    • Knerr, S. and Personnaz, L. and Dreyfus, G. Handwritten Digit Recognition by Neural Networks with Single-Layer Training. IEEE trans. Neural Networks, 3:962-968, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 962-968
    • Knerr, S.1    Personnaz, L.2    Dreyfus, G.3
  • 6
    • 0031095587 scopus 로고    scopus 로고
    • A new recurrent neural-network architecture for visual pattern recognition
    • Lee, S.-W. and Song, H.-H. A new recurrent neural-network architecture for visual pattern recognition. IEEE - Transactions on Neural Networks, 8(2):331-339, 1997.
    • (1997) IEEE - Transactions on Neural Networks , vol.8 , Issue.2 , pp. 331-339
    • Lee, S.-W.1    Song, H.-H.2
  • 8
    • 80054730776 scopus 로고    scopus 로고
    • Master's thesis, Universidade Federal da Paráiba - Departamento de Engenharia Eletrica
    • Veloso, L. R. Reconhecimento de carateres numericos manuscritos. Master's thesis, Universidade Federal da Paráiba - Departamento de Engenharia Eletrica, 1998.
    • (1998) Reconhecimento de Carateres Numericos Manuscritos
    • Veloso, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.