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Volumn 40, Issue 6, 2007, Pages 1753-1755

On an alternative formulation of the Fisher criterion that overcomes the small sample problem

Author keywords

Counterexample; Feature extraction; Fisher criterion; Small sample problem

Indexed keywords

COMPUTATIONAL METHODS; PROBLEM SOLVING; THEOREM PROVING;

EID: 33947119112     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.11.002     Document Type: Article
Times cited : (1)

References (11)
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    • The utilization of multiple measurements in problems of biological classification
    • Rao C.R. The utilization of multiple measurements in problems of biological classification. J. R. Stat. Soc. Ser. B 10 (1948) 159-203
    • (1948) J. R. Stat. Soc. Ser. B , vol.10 , pp. 159-203
    • Rao, C.R.1
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    • Tang H., Fang T., and Shi P.-F. Nonlinear discriminant mapping using the Laplacian of a graph. Pattern Recognition 39 (2006) 156-159
    • (2006) Pattern Recognition , vol.39 , pp. 156-159
    • Tang, H.1    Fang, T.2    Shi, P.-F.3
  • 7
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  • 8
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    • D. de Ridder, O. Kouropteva, O. Okun, M. Pietikäinen, R.P.W. Duin, Supervised locally linear embedding, in: Proceedings of the ICANN/ICONIP 2003, Lecture Notes in Computer Science, vol. 2714, Springer, Berlin, 2003, pp. 333-341.
  • 9
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    • M. Loog, D. de Ridder, Local discriminant analysis, in: Proceedings of the 18th International Conference on Pattern Recognition, 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.