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Neural-net inference and content addressable memory

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1 Author(s)
Mazza, C. ; Section de Math., Geneva, Switzerland

We consider Whittle's probabilistic content addressable memory, the antiphon, which is designed for recovering stored patterns from nonlinear distortions of the input messages. We give an application to content-based image retrieval systems and propose canonical ways of choosing similarity thresholds ensuring statistical consistency

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Neural Networks, IEEE Transactions on  (Volume:8 ,  Issue: 1 )