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Volumn 17, Issue 3, 2004, Pages 441-458

A high performance k-NN approach using binary neural networks

Author keywords

Associative memory; Binary mapping; Binary neural network; Correlation matrix memory; Euclidean distance; k Nearest neighbour; Quantisation; Robust encoding

Indexed keywords

IMAGE CODING; IMAGE RETRIEVAL; PATTERN MATCHING; ROBUSTNESS (CONTROL SYSTEMS);

EID: 1642281135     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2003.11.008     Document Type: Article
Times cited : (9)

References (22)
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  • 5
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    • RAM-based neural networks
    • World Scientific Pub. Co, Singapore. ISBN: 9810232535.
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  • 9
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    • Irvine: Department of Information and Computer Sciences, University of California. Retrieved 8th August 2002
    • Blake C.L., Merz C.J. UCI repository of machine learning databases. 1998;Department of Information and Computer Sciences, University of California, Irvine. Retrieved 8th August 2002.
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    • Blake, C.L.1    Merz, C.J.2
  • 13
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    • An evaluation of standard retrieval algorithms and a binary neural approach
    • Hodge V., Austin J. An evaluation of standard retrieval algorithms and a binary neural approach. Neural Networks. 14:(3):2001.
    • (2001) Neural Networks , vol.14 , Issue.3
    • Hodge, V.1    Austin, J.2
  • 15
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    • Neural networks and physical systems with emergent collective computation abilities
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    • (1982) Proceedings of the National Academic Science, USA , Issue.79 , pp. 2554-2558
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    • Matching performance of binary correlation matrix memories
    • Turner M., Austin J. Matching performance of binary correlation matrix memories. Neural Networks. 10:(9):1997;1637-1648.
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    • Turner, M.1    Austin, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.