检索结果 - Te-Won Lee

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  1. 1
    Color opponency is an efficient representation of spectral properties in natural scenes

    Color opponency is an efficient representation of spectral properties in natural scenes 由 Te-Won Lee, Thomas Wächtler, Terrence J. Sejnowski

    出版 2002
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  2. 2
    Spatially independent activity patterns in functional MRI data during the Stroop color-naming task

    Spatially independent activity patterns in functional MRI data during the Stroop color-naming task 由 Martin J. McKeown, Tzyy‐Ping Jung, Scott Makeig, Greg Brown, Sandra S. Kindermann, Te-Won Lee, Terrence J. Sejnowski

    出版 1998
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  3. 3
    Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

    Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers 由 Linda M. Zangwill, Kwokleung Chan, Christopher Bowd, Jicuang Hao, Te-Won Lee, Robert N. Weinreb, Terrence J. Sejnowski, Michael H. Goldbaum

    出版 2004
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  4. 4
    Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements

    Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements 由 Christopher Bowd, Felipe A. Medeiros, Zuohua Zhang, Linda M. Zangwill, Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski, Robert N. Weinreb, Michael H. Goldbaum

    出版 2005
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