Issue No. 02 - February (1981 vol. 3)
Kenji Murakami , Department of Electronics Engineering, Ehime University, Matsuyama, Japan.
Tsunehiro Aibara , Department of Electronics Engineering, Ehime University, Matsuyama, Japan.
The purpose of this correspondence is to propose a new construction method of distributed associative memory which operates with discrete-valued signals. In this method, memorized pairs of vectors (cue vectors and data vectors) are recorded in the form of a matrix W and a vector T. From an input vector X, the data vector is recalled by an operation u(XW + T) where X is a cue vector or a noisy cue vector. and u is a quantizing function. The methods of memorization and recall are similar to the Associatron; however, the proposed model can recall the data vectors optimally in Bayesian sense even when noisy cue vectors are given as the input vectors.
K. Murakami and T. Aibara, "Construction of a Distributed Associative Memory on the Basis of Bayes Discriminant Rule," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 3, no. , pp. 210-214, 1981.