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Volumn 1, Issue , 2006, Pages 880-883

Improve handwritten character recognition performance by heteroscedastic linear discriminant analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; PROBLEM SOLVING;

EID: 34047213038     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.693     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 1
    • 0001474381 scopus 로고
    • The statistical utilization of multiple measurements
    • R.A. Fisher. The statistical utilization of multiple measurements. Ann. Eugenics, vol. 8, pp. 376-386, 1938
    • (1938) Ann. Eugenics , vol.8 , pp. 376-386
    • Fisher, R.A.1
  • 2
    • 0001565436 scopus 로고
    • The utilization of multiple measurements in problems of biological classification
    • C.R. Rao. The utilization of multiple measurements in problems of biological classification. J. Royal Statistical Soc., B, vol. 10, pp. 159-203, 1948
    • (1948) J. Royal Statistical Soc., B , vol.10 , pp. 159-203
    • Rao, C.R.1
  • 3
    • 84985598237 scopus 로고
    • Canonical variate analysis - a general formulation
    • Campbell. Canonical variate analysis - a general formulation. Australian Journal of Statistics, 26:86-96, 1984
    • (1984) Australian Journal of Statistics , vol.26 , pp. 86-96
    • Campbell1
  • 5
    • 84892187452 scopus 로고    scopus 로고
    • Maximum likelihood modeling with Gaussian distributions for classifcaiton
    • 98, Seattle, USA, pp
    • R.A. Gopinath. Maximum likelihood modeling with Gaussian distributions for classifcaiton. In Proceedings of ICASSP '98, Seattle, USA, pp. 661-664, 1998.
    • (1998) Proceedings of ICASSP , pp. 661-664
    • Gopinath, R.A.1
  • 6
    • 77952778260 scopus 로고    scopus 로고
    • M. Loog and R.PW. Duin. Non-iterative heteroscedastic linear dimension reduction for two-class data: From Fisher to Chernoff. In Proceedings of the 4th Joint LAPR International Workshops SSPR 2002 and SPR 2002, pp. 508-517, IAPR, Springer-Verlag, August 2002
    • M. Loog and R.PW. Duin. Non-iterative heteroscedastic linear dimension reduction for two-class data: From Fisher to Chernoff. In Proceedings of the 4th Joint LAPR International Workshops SSPR 2002 and SPR 2002, pp. 508-517, IAPR, Springer-Verlag, August 2002
  • 7
    • 0035393361 scopus 로고    scopus 로고
    • Multiclass linear dimension reduction by weighted pairwise fisher criteria
    • M. Loog, R.P.W. Duin and R. Haeb-Umbach. Multiclass linear dimension reduction by weighted pairwise fisher criteria. IEEE Trans, on PAMI. 23(7): 762-766, 2001
    • (2001) IEEE Trans, on PAMI , vol.23 , Issue.7 , pp. 762-766
    • Loog, M.1    Duin, R.P.W.2    Haeb-Umbach, R.3
  • 8
    • 3042673775 scopus 로고    scopus 로고
    • Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion
    • M. Loog and R.P.W. Duin. Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion. IEEE Trans, on PAMI. 26(6): 732-739, 2004
    • (2004) IEEE Trans, on PAMI , vol.26 , Issue.6 , pp. 732-739
    • Loog, M.1    Duin, R.P.W.2
  • 9
    • 0242539897 scopus 로고    scopus 로고
    • Handwritten digit recognition: Investigation of normalization and feature extraction techniques
    • Cheng-Lin Liu, K. Nakashima, H. Sako and H. Fujisawa. Handwritten digit recognition: investigation of normalization and feature extraction techniques. Pattern Recognition, 37(2): 265-279, 2004
    • (2004) Pattern Recognition , vol.37 , Issue.2 , pp. 265-279
    • Liu, C.1    Nakashima, K.2    Sako, H.3    Fujisawa, H.4
  • 10
    • 0023148717 scopus 로고
    • Modified quadratic discriminant functions and its application to Chinese character recognition
    • F.Kimura, K.Takashina, S.Tsuruoka, and Y.Miyake. Modified quadratic discriminant functions and its application to Chinese character recognition. IEEE Trans. on PAMI, 9(1): 149-153, 1987
    • (1987) IEEE Trans. on PAMI , vol.9 , Issue.1 , pp. 149-153
    • Kimura, F.1    Takashina, K.2    Tsuruoka, S.3    Miyake, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.