A performance analysis of an associative system for image classification

Abstract Noise-like coding Associative Memories are applied to image classification. After describing the theoretical framework and the imaging architecture, an experimental analysis assesses the system's resistance against increasing noise. Results confirm that the associative ‘graceful degradation’ provides the classifier with notable noise-insensitivity.

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