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Volumn 5, Issue , 2004, Pages

Prototype-based minimum error classifier for handwritten digits recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DECISION MAKING; ERROR ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; PATTERN RECOGNITION; VECTOR QUANTIZATION;

EID: 4544349612     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 1
    • 0028531044 scopus 로고
    • Prototype-based minimum classification error/generalized probabilistic descent for various speech units
    • Oct.
    • E. McDermott and S. Katagiri, "Prototype-based Minimum Classification Error/Generalized Probabilistic Descent for Various Speech Units," Computer Speech and Language, vol. 8, no. 4, pp. 351-368, Oct. 1994.
    • (1994) Computer Speech and Language , vol.8 , Issue.4 , pp. 351-368
    • McDermott, E.1    Katagiri, S.2
  • 4
    • 0035283342 scopus 로고    scopus 로고
    • Evaluation of prototype learning algorithm for nearest neighbor classifier in application to handwritten character recognition
    • C. L. Liu and M. Nakagawa, "Evaluation of prototype learning algorithm for nearest neighbor classifier in application to handwritten character recognition," Pattern Recognition vol. 3, no. 34, pp. 601-615, 2001.
    • (2001) Pattern Recognition , vol.3 , Issue.34 , pp. 601-615
    • Liu, C.L.1    Nakagawa, M.2
  • 5
    • 0032203256 scopus 로고    scopus 로고
    • Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method
    • S. Katagiri, B.-H. Juang, and C.-H Lee, "Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method," Proceedings of the IEEE, vol. 86, no. 11, pp. 2345-2373, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2345-2373
    • Katagiri, S.1    Juang, B.-H.2    Lee, C.-H.3
  • 6
    • 0034846558 scopus 로고    scopus 로고
    • Minimum classification error training of Hidden Markov model for handwriting recognition
    • A. Biem, "Minimum Classification Error Training of Hidden Markov Model for Handwriting Recognition," Proceedings of ICASSP, vol. 3, pp. 1529-1532, 2001.
    • (2001) Proceedings of ICASSP , vol.3 , pp. 1529-1532
    • Biem, A.1
  • 7
    • 0030715937 scopus 로고    scopus 로고
    • Cepstrum-based filter-bank design using discriminative feature extraction training at various levels
    • Apr.
    • A. Biem and S. Katagiri, "Cepstrum-Based Filter-Bank Design Using Discriminative Feature Extraction Training at Various Levels," in Proc. IEEE ICASSP, Apr. 1997, vol. 2, pp. 1503-1506.
    • (1997) Proc. IEEE ICASSP , vol.2 , pp. 1503-1506
    • Biem, A.1    Katagiri, S.2
  • 8
    • 0003578240 scopus 로고
    • An empirical study of learning speed in back-propagation networks
    • Carnergie Mellon University
    • S. E. Fahlman, "An Empirical Study of Learning Speed in Back-Propagation Networks," Technical Report CMU-CS-88-162, Carnergie Mellon University, 1988.
    • (1988) Technical Report , vol.CMU-CS-88-162
    • Fahlman, S.E.1
  • 9
    • 84945920014 scopus 로고    scopus 로고
    • Methods, report and survey for the comparison of diverse isolated character recognition results on the unipen database
    • E. Ratzlaff, "Methods, report and survey for the comparison of diverse isolated character recognition results on the unipen database," Proc. of ICDAR, vol. 1, pp. 629-633, 2003.
    • (2003) Proc. of ICDAR , vol.1 , pp. 629-633
    • Ratzlaff, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.