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Volumn , Issue , 2006, Pages 407-412

Data mining techniques for feature selection in blood cell recognition

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CELLS; FEATURE EXTRACTION; NEURAL NETWORKS;

EID: 84857553739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, A. Elisseeff, An introduction to variable and feature selection, JMLR, 3, 1158 - 1182, 2003
    • (2003) JMLR , vol.3 , pp. 1158-1182
    • Guyon, I.1    Elisseeff, A.2
  • 7
    • 0036464306 scopus 로고    scopus 로고
    • System-level training of neural networks for counting white blood cells
    • N. Theera-Umpon, P. Gader, system-level training of neural networks for counting white blood cells, IEEE Trans. SMS-C, 32:48-53, 2002
    • (2002) IEEE Trans. SMS-C , vol.32 , pp. 48-53
    • Theera-Umpon, N.1    Gader, P.2
  • 8
    • 33745941457 scopus 로고    scopus 로고
    • Texture analysis
    • Jahne, B., Haussecker, H., and Geisser Eds, Academic Press
    • T. Wagner, “Texture analysis” (in Jahne, B., Haussecker, H., and Geisser P., (Eds.), Handbook of Computer Vision and Application), 275-309, Academic Press,1999
    • (1999) Handbook of Computer Vision and Application) , pp. 275-309
    • Wagner, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.