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Volumn 2, Issue , 1994, Pages 262-267

Memory-based character recognition using a transformation invariant metric

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; DATABASE SYSTEMS; HAMMING DISTANCE; IMAGE SEGMENTATION; NEAREST NEIGHBOR SEARCH;

EID: 33747449197     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (11)
  • 2
    • 0025198785 scopus 로고
    • Strategies for efficient incremental nearest neighbor search
    • Broder, A. J. (1990). Strategies for Efficient Incremental Nearest Neighbor Search. Pattern Recognition, 23:171-178.
    • (1990) Pattern Recognition , vol.23 , pp. 171-178
    • Broder, A.J.1
  • 5
    • 0003527079 scopus 로고
    • Self-organization and associative memory
    • Springer-Verlag
    • Kohonen, T. (1984). Self-organization and Associative Memory. In Springer Series in Information Sciences, Volume 8. Springer-Verlag.
    • (1984) Springer Series in Information Sciences , vol.8
    • Kohonen, T.1
  • 7
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • Mallat, S. G. (1989). A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, No. 7:674-693.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 8
    • 0000965129 scopus 로고
    • Studies in the robustness of multidimensional scaling: Procrustes statistices
    • Sibson, R. (1978). Studies in the Robustness of Multidimensional Scaling: Procrustes Statistices. J. R. Statist. Soc., 40:234-238.
    • (1978) J. R. Statist. Soc. , vol.40 , pp. 234-238
    • Sibson, R.1
  • 9
    • 77953494628 scopus 로고
    • An efficient method for learning invariances in adaptive classifiers
    • The Hague, Netherlands
    • Simard, P. Y., LeCun, Y., Denker, J., and Victorri, B. (1992a). An Efficient Method for Learning Invariances in Adaptive classifiers. In International Conference on Pattern Recognition, Volume 2, pages 651-655, The Hague, Netherlands.
    • (1992) International Conference on Pattern Recognition , vol.2 , pp. 651-655
    • Simard, P.Y.1    LeCun, Y.2    Denker, J.3    Victorri, B.4
  • 10
    • 0001440803 scopus 로고
    • Tangent prop - A formalism for specifying selected invariances in an adaptive network
    • San Mateo, CA
    • Simard, P. Y., Victorri, B., LeCun, Y., and Denker, J. (1992b). Tangent Prop - A formalism for specifying selected invariances in an adaptive network. In Neural Information Processing Systems, Volume 4, pages 895-903, San Mateo, CA.
    • (1992) Neural Information Processing Systems , vol.4 , pp. 895-903
    • Simard, P.Y.1    Victorri, B.2    LeCun, Y.3    Denker, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.