- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Submit a Manuscript
- Table of Contents
ISRN Computational Mathematics
Volume 2012 (2012), Article ID 197352, 13 pages
doi:10.5402/2012/197352
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,
N1G 2W1, Canada
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