Generalized Connectionist Associative Memory

Duffy, Nigel P.; Jagota, Arun K.

Generalized Connectionist Associative Memory

Download BibTeX Cite

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 833-838.

Abstract

This paper presents a generalized associative memory model, which stores a collection of tuples whose components are sets rather than scalars. It is shown that all library patterns are stored stably. On the other hand spurious memories may develop. Applications of this model to storage and retrieval of naturallyarising generalized sequences in bioinformatics are presented. The model is shown to work well for detection of novel generalized sequences against a large database of stored sequences, and for removal of noisy black pixels in a probe image against a very large set of stored images.

Nigel P. Duffy, and Arun K. Jagota. 1999. Generalized Connectionist Associative Memory. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 833–838. https://ijcai.org/proceedings/1999/119

@inproceedings{ijcai1999p119,
  title     = {Generalized Connectionist Associative Memory},
  author    = {Duffy, Nigel P. and Jagota, Arun K.},
  booktitle = {Proceedings of the Sixteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-99}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Thomas Dean},
  pages     = {833--838},
  year      = {1999},
  note      = {Machine Learning},
  url       = {https://ijcai.org/proceedings/1999/119},
}

TY  - CPAPER
TI  - Generalized Connectionist Associative Memory
AU  - Duffy, Nigel P.
AU  - Jagota, Arun K.
T2  - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1999
SP  - 833
EP  - 838
UR  - https://ijcai.org/proceedings/1999/119
ER  -