Massively parallel networks for edge loc
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Toshiro Kubota
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Article
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2004
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Elsevier Science
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English
β 632 KB
The paper describes a new adaptive neural network for edge-based pattern extraction problems. In the model, each neuron represents an edge with continuous state variables describing its location and orientation. The post-synaptic distribution is dependent on the state variables. Each neuron adjusts