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    Bio-Inspired Nano-Sensor-Enhanced CNN Visual Computer

    Freier Zugriff
    Porod, W. / Werblin, F. / Chua, L.O. et al. | BASE | 2015
    technology through nanotechnology. This intersection serves as the springboard for our multidisciplinary project. Biological feature and motion ...
    Verlag: John Wiley & Sons, Inc. , Munich University of Technology (TUM): mediaTUM
    Schlagwörter: analog-and-logical visual computing; retinal information processing; cellular neural/nonlinear network (CNN); wave computing; nanoscale optical/infrared sensor; feature and motion detection; target recognition and tracking