• Journal of Infrared and Millimeter Waves
  • Vol. 21, Issue 5, 327 (2002)
[in Chinese]1, [in Chinese]1, and [in Chinese]2、3、4、5
Author Affiliations
  • 1[in Chinese]
  • 2Image Computing Group
  • 3Department of Computer Science
  • 4City University of Hong Kong
  • 5Hong Kong
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. ASimilarity Measurement for Affine Invariance Retrieval Based on Synergetic Neural Nets (SNN)[J]. Journal of Infrared and Millimeter Waves, 2002, 21(5): 327 Copy Citation Text show less
    References

    [1] ZHAO Tong; Horace H S Ip; QI Fei-Hu. Synergetic neural network approach for content-based retrieval of trademarks.Invited paper.In: Proceedings of the Fifth Joint Conference on Information Sciences;Atlantic City; U.S;2000;2:484.

    [2] ZHAO Tong; TANG Lilian H; Horace H S Ip; et al.Visual keyword image retrieval based on synergetic neural network for web-based image search. Real-Time System;2001;21:127-142

    [3] Haken H. Synergetics: An Introduction. Berlin Heidelberg: Springer-Verlag;1983

    [4] Haken H. Synergetic Computers and Cognition-A Top-Down Approach to Neural Nets.Berlin Heidelberg: Springer-Verlag; 1991

    [5] Daffertshofer; Haken H. A new approach to recognition of deformed patterns. Pattern Recognition; 1994; 27(12):1697-170

    [6] Hogg T;TalhamiH;Ress D. An improved synergetic algorithm for image classification. Pattern Recognition; 1998;31(12):1893-1903

    [7] Ditzinger T; Tuller B; Haken H; et al. A synergetic model for the verbal transformation effect. Biological Cybernetics; 1997;77(1):31-40

    [8] Jain Anil K; Vailaya A. Shape-based retrieval: a case study with trademark image databases. Pattern Recognition; 1999;31(9):1369-1390

    [in Chinese], [in Chinese], [in Chinese]. ASimilarity Measurement for Affine Invariance Retrieval Based on Synergetic Neural Nets (SNN)[J]. Journal of Infrared and Millimeter Waves, 2002, 21(5): 327
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