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Neural Networks and Computational Learning Theory

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NeuroCOLT Technical Report NC-TR-97-039

A Unifying Framework for Invariant Pattern Recognition

Jeffrey Wood and John Shawe-Taylor
Royal Holloway, University of London
UK

Abstract
We introduce a group-theoretic model of invariant pattern recognition, the Group Representation Network. We show that many standard invariance techniques can be viewed as GRNs, including the DFT power spectrum, higher order neural network and fast translation-invariant transform.

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