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Volumn 2001-January, Issue , 2001, Pages 362-369

Feature subset selection using genetic algorithms for handwritten digit recognition

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTER GRAPHICS; FEATURE EXTRACTION; GENETIC ALGORITHMS; IMAGE PROCESSING; ITERATIVE METHODS;

EID: 84857297099     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2001.963077     Document Type: Conference Paper
Times cited : (36)

References (22)
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    • (2000) Congress on Evolutionary Computation , vol.1 , pp. 309-316
    • Emmanouilidis, C.1    Hunter, A.2    MacIntyre, J.3
  • 6
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    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • E. Zitzler, K. Deb, and L. Thiele. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2):173-195, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 8
    • 0042609803 scopus 로고    scopus 로고
    • Feature selection using genetic algorithms for handwritten character recognition
    • Amsterdam-Netherlands
    • th IWFHR, pages 103-112, Amsterdam-Netherlands, 2000.
    • (2000) th IWFHR , pp. 103-112
    • Kim, G.1    Kim, S.2
  • 10
    • 0000513303 scopus 로고
    • Principled architecture selection for neural networks: Application to corporate bond rating prediction
    • J. Moody, S. J. Hanson, and R. P. Lippmann, editors, Morgan Kaufmann
    • J. Moody and J. Utans. Principled architecture selection for neural networks: Application to corporate bond rating prediction. In J. Moody, S. J. Hanson, and R. P. Lippmann, editors, Advances in Neural Information Processing Systems 4. Morgan Kaufmann, 1991.
    • (1991) Advances in Neural Information Processing Systems 4
    • Moody, J.1    Utans, J.2
  • 11
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • J. Yang and V. Honavar. Feature subset selection using a genetic algorithm. IEEE Intelligent Systems, 13(1):44-49, 1998.
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.1 , pp. 44-49
    • Yang, J.1    Honavar, V.2
  • 16
    • 0033640901 scopus 로고    scopus 로고
    • Comparision of algorithms that select features for pattern classifiers
    • M. Kudo and J. Sklansky. Comparision of algorithms that select features for pattern classifiers. Pattern Recognition, 33(1):25-41, 2000.
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 18
    • 34249839613 scopus 로고
    • Genetic search strategies in multicriterion optimal design
    • P. Hajela and C. Y. Lin. Genetic search strategies in multicriterion optimal design. Structural Optimization, 4:99-107, 1992.
    • (1992) Structural Optimization , vol.4 , pp. 99-107
    • Hajela, P.1    Lin, C.Y.2
  • 20
    • 0035342524 scopus 로고    scopus 로고
    • Facial modeling from an uncalibrated face image using a coarse-to-fine genetic algorithm
    • S. Y. Ho and H. L. Huang. Facial modeling from an uncalibrated face image using a coarse-to-fine genetic algorithm. Pattern Recognition, 34(5):1015-1031, 2001.
    • (2001) Pattern Recognition , vol.34 , Issue.5 , pp. 1015-1031
    • Ho, S.Y.1    Huang, H.L.2
  • 21
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    • Off-line signature verification using genetically optimized weighted features
    • V. E. Ramesh and N. Murty. Off-line signature verification using genetically optimized weighted features. Pattern Recognition, 32(2):217-233, 1999.
    • (1999) Pattern Recognition , vol.32 , Issue.2 , pp. 217-233
    • Ramesh, V.E.1    Murty, N.2
  • 22
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    • A note on genetic algorithms for large scale on feature selection
    • W. Siedlecki and J. Sklansky. A note on genetic algorithms for large scale on feature selection. Pattern Recognition Letters, 10:335-347, 1989.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.