Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
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.
Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
Kellen Cheng, Anna Lisa Gentile, et al.
EMNLP 2024
Gang Liu, Michael Sun, et al.
ICLR 2025
Joxan Jaffar
Journal of the ACM