Shai Fine, Yishay Mansour
Machine Learning
This paper proposes a family of new methods for the storage and reconstruction of binary patterns by means of block-projections. More flexibility and less ambiguity is thus achieved. A complete analysis is presented in terms of (i) storage requirements, (ii) computation, and (iii) unambiguity ratio. Furthermore, applications to general patterns are described. © 1972 American Elsevier Publishing Company, Inc. All rights reserved.
Shai Fine, Yishay Mansour
Machine Learning
Y.Y. Li, K.S. Leung, et al.
J Combin Optim
Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
Arthur Nádas
IEEE Transactions on Neural Networks