title: Neural-net inference and content addressable memory.
abstract: 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.
authors.affiliation: Section de Math., Geneva.
authors.forename: C
authors.initials: C
authors.lastname: Mazza