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Volumn 2175, Issue , 2001, Pages 57-63

A new machine learning approach to fingerprint classification

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES;

EID: 84922577122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45411-x_7     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 2
    • 0032165969 scopus 로고    scopus 로고
    • A general framework for adaptive processing of data structures
    • P. Frasconi, M. Gori, and A. Sperduti. A general framework for adaptive processing of data structures. IEEE Trans on Neural Networks, 9(5), pp 768-786, 1998.
    • (1998) IEEE Trans on Neural Networks , vol.9 , Issue.5 , pp. 768-786
    • Frasconi, P.1    Gori, M.2    Sperduti, A.3
  • 3
    • 0034072495 scopus 로고    scopus 로고
    • Combination of Neural and Statistical Algorithms for Supervised Classification of Remote-Sensing Images
    • G. Giacinto, F. Roli, L. Bruzzone. Combination of Neural and Statistical Algorithms for Supervised Classification of Remote-Sensing Images. Pattern Recognition Letters, May 2000, 21 (5) pp. 385-397.
    • (2000) Pattern Recognition Letters , vol.21 , Issue.5 , pp. 385-397
    • Giacinto, G.1    Roli, F.2    Bruzzone, L.3
  • 5
    • 0032663330 scopus 로고    scopus 로고
    • A multichannel approach to fingerprint classification
    • A. K. Jain, S. Prabhakar, and L. Hong. A multichannel approach to fingerprint classification. PAMI, 21 (4):348–359, 1999.
    • (1999) PAMI , vol.21 , Issue.4 , pp. 348-359
    • Jain, A.K.1    Prabhakar, S.2    Hong, L.3
  • 6
    • 82055176906 scopus 로고    scopus 로고
    • Fingerprint classification by combination of flat and structural approaches
    • G. Marcialis, F Roli, and P. Frasconi. Fingerprint classification by combination of flat and structural approaches. Proc. of AVBPA 2001, June 2001, pp. 241-246.
    • (2001) Proc. of AVBPA , vol.2001 , pp. 241-246
    • Marcialis, G.1    Roli, F.2    Frasconi, P.3
  • 7
    • 0032095724 scopus 로고    scopus 로고
    • Support vector machines for 3-d object recognition
    • M. Pontil and A. Verri. Support vector machines for 3-d object recognition. IEEE Trans. PAMI, pages 637–646, 1998.
    • (1998) IEEE Trans. PAMI , pp. 637-646
    • Pontil, M.1    Verri, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.