Multiwavelet support vector machine and its applications

International Journal of Tomography and Statistics

Volumn 11, Issue W09, 2009, Pages 35-47

  Chen, G Y ^a   Xie, W F ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Multiwavelets; Pattern recognition; Signal regression; Support vector machine

Indexed keywords

EID: 69249093091     PISSN: 09729976     EISSN: 09737294     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. V. N. Vapnik, 1998, Statistical learning theory, New York: Wiley.
2. V. N. Vapnik, 1995, The nature of statistical learning, New York: Springer-Verlag.
3. C. Cortes and V. N. Vapnik, 1995, "Support vector networks," Machine Learning, vol.20, pp. 273-297.
4. Q. Song, W. J. Hu and W. F. Xie, 2002, "Robust support vector machine for bullet hole image classification," IEEE Transactions on Systems, Man and Cybernetics - Part C, vol.32, no.4, pp. 440-448.
5. L. Zhang, W. Zhou and L. Jiao, 2004. "Wavelet support vector machine," IEEE Transactions on Systems, Man, and Cybernetics - Part B, vol.34, no.1, pp. 34-39.
6. V. Strela, P. N. Heller, G. Strang, P. Topiwala, and C. Heil, 1999, "The application of multiwavelet filter banks to image processing," IEEE Transactions on Image Processing, vol.8, no.4, pp. 548-563.
7. T. R. Downie and B. W. Silverman, 1998, "The discrete multiple wavelet transform and thresholding methods," IEEE Transactions on Signal Processing, vol.46, no.9, pp. 2558-2561.
8. T. D. Bui and G. Y. Chen, 1998, "Translation-invariant denoising using multiwavelets," IEEE Transactions on Signal Processing, vol.46, no.12, pp. 3414-3420.
9. G. Y. Chen and T. D. Bui, 2003, "Multiwavelet denoising using neighbouring coefficients," IEEE Signal Processing Letters, vol.10, no.7, pp.211-214.
10. G. Y. Chen, T. D. Bui and A. Krzyzak, 2003, "Contour-based handwritten numeral recognition using multiwavelets and neural networks," Pattern Recognition, vol.36, no.7, pp.1597-1604.
11. J. S. Geronimo, D. P. Hardin, and P. R. Massopust, 1994, "Fractal functions and wavelet expansions based on several scaling functions," Journal of Approximation Theory, vol.78, pp. 373-401.
12. A. Smola, B. Scholkopf and K.-R. Muller, 1998, "The connection between regulation operators and support vector kernels," Neural Network, vol.11, pp. 637-649.
13. K. R. Castleman, 1979, Digital Image Processing, Prentice-Hall, Inc., Englewood Cliffs, New Jersey 07632.
14. S. Gunn, 1998, "Support vector machines for classification and regression," University of Southampton, Southampton, U.K., Image Speech and Intelligent Systems (ISIS) Group, Technical Report.
15. N. G. Kingsbury, 1998, "The dual-tree complex wavelet transform: a new efficient tool for image restoration and enhancement," Proc. EUSIPCO'98, Rhodes, pp. 319-322.
16. N. G. Kingsbury, 1999, "Shift invariant properties of the dual-tree complex wavelet transform," Proc. IEEE ICASSP'99, Phoenix, AZ.
17. N. G. Kingsbury, 2000, "A dual-tree complex wavelet transform with improved orthogonality and symmetry properties," Proc. IEEE ICIP, Vancouver.
18. T. Joachims, 2000, "Estimating the generalization performance of a SVM efficiently," Proc. 17th Int. Conf. Machine Learning, San Fransisco, CA.
19. M. Kearns and D. Ron, 1997, "Algorithmic stability and sanity-check bounds for leave-one-out cross validation," Proc. Tenth Conf. Comput. Learning Theory, New York, pp. 152-162.