Neural-net inference and content addressable memory
Christian Mazza · IEEE Transactions on Neural Networks · 1997
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.