By the same authors

Incorporating scale invariance into the cellular associative neural network

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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Incorporating scale invariance into the cellular associative neural network. / Burles, Nathan; O'Keefe, Simon; Austin, James.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8681 LNCS Springer-Verlag, 2014. p. 435-442 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8681 LNCS).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Burles, N, O'Keefe, S & Austin, J 2014, Incorporating scale invariance into the cellular associative neural network. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8681 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8681 LNCS, Springer-Verlag, pp. 435-442, 24th International Conference on Artificial Neural Networks, ICANN 2014, Hamburg, United Kingdom, 15/09/14. https://doi.org/10.1007/978-3-319-11179-7_55

APA

Burles, N., O'Keefe, S., & Austin, J. (2014). Incorporating scale invariance into the cellular associative neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8681 LNCS, pp. 435-442). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8681 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-11179-7_55

Vancouver

Burles N, O'Keefe S, Austin J. Incorporating scale invariance into the cellular associative neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8681 LNCS. Springer-Verlag. 2014. p. 435-442. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-11179-7_55

Author

Burles, Nathan ; O'Keefe, Simon ; Austin, James. / Incorporating scale invariance into the cellular associative neural network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8681 LNCS Springer-Verlag, 2014. pp. 435-442 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex - Download

@inbook{f31b4fdaffc54636b9be7b21cd1df4be,
title = "Incorporating scale invariance into the cellular associative neural network",
abstract = "This paper describes an improvement to the Cellular Associative Neural Network, an architecture based on the distributed model of a cellular automaton, allowing it to perform scale invariant pattern matching. The use of tensor products and superposition of patterns allows the system to recall patterns at multiple resolutions simultaneously. Our experimental results show that the architecture is capable of scale invariant pattern matching, but that further investigation is needed to reduce the distortion introduced by image scaling.",
keywords = "associative memory, cellular automata, correlation matrix memory, distributed computation, pattern recognition, scale invariance",
author = "Nathan Burles and Simon O'Keefe and James Austin",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11179-7_55",
language = "English",
isbn = "9783319111780",
volume = "8681 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "435--442",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
note = "24th International Conference on Artificial Neural Networks, ICANN 2014 ; Conference date: 15-09-2014 Through 19-09-2014",

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RIS (suitable for import to EndNote) - Download

TY - CHAP

T1 - Incorporating scale invariance into the cellular associative neural network

AU - Burles, Nathan

AU - O'Keefe, Simon

AU - Austin, James

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper describes an improvement to the Cellular Associative Neural Network, an architecture based on the distributed model of a cellular automaton, allowing it to perform scale invariant pattern matching. The use of tensor products and superposition of patterns allows the system to recall patterns at multiple resolutions simultaneously. Our experimental results show that the architecture is capable of scale invariant pattern matching, but that further investigation is needed to reduce the distortion introduced by image scaling.

AB - This paper describes an improvement to the Cellular Associative Neural Network, an architecture based on the distributed model of a cellular automaton, allowing it to perform scale invariant pattern matching. The use of tensor products and superposition of patterns allows the system to recall patterns at multiple resolutions simultaneously. Our experimental results show that the architecture is capable of scale invariant pattern matching, but that further investigation is needed to reduce the distortion introduced by image scaling.

KW - associative memory

KW - cellular automata

KW - correlation matrix memory

KW - distributed computation

KW - pattern recognition

KW - scale invariance

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DO - 10.1007/978-3-319-11179-7_55

M3 - Chapter (peer-reviewed)

SN - 9783319111780

VL - 8681 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 442

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer-Verlag

T2 - 24th International Conference on Artificial Neural Networks, ICANN 2014

Y2 - 15 September 2014 through 19 September 2014

ER -