A high performance k-NN approach using binary neural networks

Hodge, V J orcid.org/0000-0002-2469-0224, Lees, K J and Austin, J L orcid.org/0000-0001-5762-8614 (2004) A high performance k-NN approach using binary neural networks. Neural Networks. pp. 441-458. ISSN 0893-6080



Copyright, Publisher and Additional Information: Copyright © 2003 Elsevier Ltd. This is an author produced version of a paper published in Neural Networks. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.
Keywords: binary neural network, associative memory, correlation matrix memory, k-nearest neighbour, euclidean distance, robust encoding, quantisation, binary mapping
  • Published: April 2004
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Sherpa Assistant
Date Deposited: 08 Nov 2005
Last Modified: 06 Dec 2023 10:43
Published Version: https://doi.org/10.1016/j.neunet.2003.11.008
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.neunet.2003.11.008
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