[1] R. Jiao, Y. Li, Q. Wang, B. Li, “SVM Regression and Its
Application to Image Compression,” D.S. Huang, X. P. Zhang, G.-B. Huang
(Eds.): ICIC 2005, Part I, LNCS 3644, pp. 747 – 756, 2005. © Springer-Verlag Berlin Heidelberg 2005.
[2] R. Ahmed Clerk, “Wavelet-Based Image Compression Using
Support Vector Machine Learning And Encoding Techniques,” proceeding of
the eighth IASTED International Conference, Honolulu, Hawaii, USA, Aug.
15- 17, 2005, pp.162 -166.
[3] J. Robinson and V. Kecman, “Combining Support Vector Machine
with the Discrete Cosine Transform in Image Compression,” IEEE
Transaction on Neural Networks, Vol 14, No 4, July 2003, pp. 950–958
[4] J. Robinson, “The Application of Support Vector Machine to
Compression of The Digital Images,” PHD dissertation, School of
Engineering, university of Auckland, New Zealand, 2004.
[5] A. Tolambiya, P. K. Kalra, “WSVM with Morlet Wavelet Kernel
for Image Compression,” 1 – 4244 - 1 160, 2007 IEEE.
[6] K. S. Thyagarajan, “Still Image and Video Compression with
MATLAB,” ISBN 978-0-470-48416-6, John Wiley & Sons. 2011.
[7] S. R. Gunn, “Support Vector Machines for Classification and
Regression,” Faculty of Engineering, Science and Mathematics School of
Electronics and Computer Science, May 1998.
[8] T. Acharya, P. S. Tsail, “JPEG2000 Standard for Image
Compression Concepts, Algorithms and VLSl Architectures,” ISBN 0-471-48422-9, John Wiley & Sons, 2005.
[9] V. Vapnik, S. Golowich, A. Smola, “Support Vector Machine for
Function Approximation, Regression Estimation, and Signal Processing,” in:
M. Mozer, M. Jordan, T. Petsche (Eds.), Advances in Neural Information
Processing Systems, vol. 9, MIT Press, Cambridge, MA, 1997, pp. 281–287.
[10] J. Nagi, K.S. Yap, F. Nagi, S. K. Tiongb, S. K. Ahmed, “A
Computational Intelligence Scheme for the Prediction of the Daily peak load,”
Elsevier B.V. Applied Soft Computing 11. July 2011, pp. 4773–4788.
[11] N. Sreekumar, S. Santhosh Baboo, “ Image Compression using Wavelet
and Modified Extreme Learning Machine,” Computer Engineering and
Intelligent Systems, ISSN 2222-1719, Vol 2, No 2, 2011.
Thank you for copying data from http://www.arastirmax.com