A high performance k-NN classifier using a binary correlation matrix memory

Advances in Neural Information Processing Systems

Volumn , Issue , 1999, Pages 713-719

  Zhou, Ping ^a   Austin, Jim ^a   Kennedy, John ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE TESTING;

BINARY CORRELATIONS; CORRELATION MATRIX MEMORY; ENCODING METHODS; HARDWARE IMPLEMENTATIONS; K-NN CLASSIFIER; LARGE PROBLEMS; NN CLASSIFIERS; SOFTWARE AND HARDWARES;

HARDWARE;

EID: 0013435864     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Willshaw, D.J., Buneman, O.P. & Longuet-Higgins, H.C. (1969) Non-holographic associative memory. Nature, Vol. 222, p960-962.
2. Austin, J. (1996) AURA, A distributed associative memory for high speed symbolic reasoning. In: Ron Sun (ed), Connectionist Symbolic Integration. Kluwer.
3. Turner, M. & Austin, J. (1997) Matching performance of binary correlation matrix memories. Neural Networks; 10:1637-1648.
4. Dasarathy, B.V. (1994) Minimal consistent set (MCS) identification for optimal nearest neighbor decision system design. IEEE Trans. Systems Man Cybernet; 24:511-517.
5. Grother, P.J., Candela, G.T. & Blue, J.L. (1997) Fast implementations of nearest neighbor classifiers. Pattern Recognition; 30:459-465.
6. Austin, J., Stonham, T.J. (1987) An associative memory for use in image recognition and occlusion analysis. Image and Vision Computing; 5:251-261.
7. Michie, D., Spiegelhalter, DJ. & Taylor, C.C. (1994) Machine learning, neural and statistical classification (Chapter 9). New York, Ellis Horwood.
8. Zhou, P. & Austin J. (1998) Learning criteria for training neural network classifiers. Neural Computing and Applications Forum; 7:334-342.