• Journal of Infrared and Millimeter Waves
  • Vol. 20, Issue 5, 361 (2001)
[in Chinese], [in Chinese], [in Chinese], and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. RESEARCH OF AUTOMATIC FACE RECOGNITION BASED ON ICA[J]. Journal of Infrared and Millimeter Waves, 2001, 20(5): 361 Copy Citation Text show less
    References

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    [2] Nastar C, Ayache N. Frequency-based non-rigid motion analysis. IEEE Trans on PAMI, 1996,11: 1067-1079

    [3] Cardoso J. Source separation using higher order moments.Proceedings of IEEE Conference on Acoustics, Speech, and Signal Processing,1989, 2109-2112

    [5] Jutten C, Herault J. Blind separation of sources. Part I: An adaptive algorithm based on neuromimetic architecture.Signal Processing,1991,24, 11-21

    [6] Cichocki A, Unbehauen R. Robust neural networks with on-line learning for blind identification and blind separation of sources.IEEE Trans. on Circuits and Systems-I: Fundamental Theory and Applications, 1996,43(11):894-906

    [7] Turk M, Pentland A. Eigenfaces for recognition. J.Cog.Neurosci., 1991,3(1):71-86

    [8] Bell A, Sejnowski T. An information maximization approach to blind separation and blind deconvolution. Neural Computation,1995,7, 1129-1159

    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. RESEARCH OF AUTOMATIC FACE RECOGNITION BASED ON ICA[J]. Journal of Infrared and Millimeter Waves, 2001, 20(5): 361
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