Neuronal algorithms for full information spectral analysis
Résumé
In Pattern Recognition the input items have to be identified under various transformations of their representations. Contemporary neural-networks research concentrates mostly on decision making systems, whereas the fundamental functions associated with the preprocessing of observations have often been ignored. This paper is a step toward theories that are expected to help the emergence of invariant-features
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