loading...
Kernel and Nonlinear Canonical Correlation Analysis
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.10005IEEE-INNS-ENNS International Joint Co ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Pei Ling Lai, University of Paisley
Colin Fyfe, University of Paisley
We have previously [4] derived a neural network implementation of the statistical technique of Canonical Correlation Analysis (CCA). We extend this to nonlinear CCA either by adding a non-linearity to our neural method or by nonlinearly transforming the data to a feature space and then performing linear CCA in this feature space. We give comparative results on both artificial and real data sets.
Citation:
Pei Ling Lai, Colin Fyfe, "Kernel and Nonlinear Canonical Correlation Analysis," ijcnn, vol. 4, pp.4614, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
Usage of this product signifies your acceptance of the Terms of Use.