Andy Stynen

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We present a methodology and a neural network architecture for the modeling of low-and mid-level visual processing. The network architecture uses local filter operators as basic processing units which can be combined into a network via flexible connections. Using this methodology we design a neuronal network that models the joint processing of oriented(More)
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