An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
The connection machine
Communications of the ACM - Special issue on parallelism
2-D Invariant Object Recognition Using Distributed Associative Memory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
A simple algorithm for computing the generalized inverse of a matrix
Communications of the ACM
Computer Architecture and Parallel Processing
Computer Architecture and Parallel Processing
On the Effect of Noise on the Moore-Penrose Generalized Inverse Associative Memory
IEEE Transactions on Pattern Analysis and Machine Intelligence
On recursive calculation of the generalized inverse of a matrix
ACM Transactions on Mathematical Software (TOMS)
Linear Algebra Approach to Neural Associative Memories and Noise performance of Neural Classifiers
IEEE Transactions on Computers - Special issue on artificial neural networks
Noise Performance of Linear Associative Memories
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The distributed associative memory (DAM) model is proposed for distributed and fault-tolerant computation related to retrieval tasks. The fault tolerance is with respect to noise in the input key data and/or local and global failures in the memory itself. Working models for fault-tolerant image reconfiguration and database information retrieval have been developed and backed up by experimental results that show the feasibility of such an approach.