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ISRN Computational Mathematics
Volume 2012 (2012), Article ID 197352, 13 pages
http://dx.doi.org/10.5402/2012/197352
Research Article

Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification

1Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
2Mathematics and Statistics Department, University of Guelph, Guelph, ON, Canada N1G 2W1
3Computer Laboratory, University of Cambridge, Cambridge CB3 0FD, UK

Received 3 May 2012; Accepted 13 June 2012

Academic Editors: L. Hajdu, L. S. Heath, R. A. Krohling, E. Weber, and W. G. Weng

Copyright © 2012 Shengkun Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan, and Pietro Lio, “Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification,” ISRN Computational Mathematics, vol. 2012, Article ID 197352, 13 pages, 2012. doi:10.5402/2012/197352