Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete neural computation: a theoretical foundation
Discrete neural computation: a theoretical foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recurrent neural nets as dynamical Boolean systems with application to associative memory
IEEE Transactions on Neural Networks
An RCE-based Associative Memory with Application to Human Face Recognition
Neural Processing Letters
A New Two-Level Associative Memory for Efficient Pattern Restoration
Neural Processing Letters
IEEE Transactions on Neural Networks
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This Letter reviews four models of associative memory which generalize the operation of the Hamming associative memory: the grounded Hamming memory, the cellular Hamming memory, the decoupled Hamming memory, and the two-level decoupled Hamming memory. These memory models offer high performance and allow for a more practical hardware realization than the Hamming net and other fully interconnected neural net architectures.