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Volumn , Issue , 2014, Pages 554-560

A preliminary study on fingerprint classification using fuzzy rule-based classification systems

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY RULES; SUPPORT VECTOR MACHINES;

EID: 84912573253     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2014.6891668     Document Type: Conference Paper
Times cited : (11)

References (19)
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  • 7
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  • 8
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    • Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive bayes classifiers
    • J.-H. Hong, J.-K. Min, U.-K. Cho, S.-B. Cho, and C. H. Leung, " Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive bayes classifiers, " Pattern Recognition, vol. 41, pp. 662-671, 2008.
    • (2008) Pattern Recognition , vol.41 , pp. 662-671
    • Hong, J.-H.1    Min, J.-K.2    Cho, U.-K.3    Cho, S.-B.4    Leung, C.H.5
  • 9
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    • Fingerprint classification based on adaboost learning from singularity features
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    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 1062-1070
    • Liu, M.1
  • 12
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    • J. A. Sanz, A. Fernandez, H. Bustince, and F. Herrera, " IVTURS: A linguistic fuzzy rule-based classification system based on a new intervalvalued fuzzy reasoning method with tuning and rule selection, " IEEE Transactions on Fuzzy Systems, vol. 21, no.3, pp. 399-411, 2013.
    • (2013) IEEE Transactions on Fuzzy Systems , vol.21 , Issue.3 , pp. 399-411
    • Sanz, J.A.1    Fernandez, A.2    Bustince, H.3    Herrera, F.4
  • 13
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    • FURIA: An algorithm for unordered fuzzy rule induction
    • J. Hühn and E. Hüllermeier, " FURIA: an algorithm for unordered fuzzy rule induction," Data Mining and Knowledge Discovery, vol. 19, no.3, pp. 293-319, 2009.
    • (2009) Data Mining and Knowledge Discovery , vol.19 , Issue.3 , pp. 293-319
    • Hühn, J.1    Hüllermeier, E.2
  • 16
    • 80053653987 scopus 로고    scopus 로고
    • A fuzzy association rulebased classification model for hig h-dimensional problems with genetic rule selection and lateral tuning
    • J. Alcala-Fdez, R. Alcala, and F. Herrera, "A fuzzy association rulebased classification model for hig h-dimensional problems with genetic rule selection and lateral tuning," IEEE Transactions on Fuzzy Systems, vol. 19, no.5, pp. 857-872, 2011.
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  • 17
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    • J. Sanz, A. Fernández, H. Bustince, and F. He rrera, " A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position, " International Journal of Approximate Reasoning, vol. 52, no.6, pp. 751-766, 2011.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.