Chinese Optics Letters, Volume. 4, Issue 10, 573(2006)
Blind noisy image separation based on a new robust independent component analysis network
[2] [2] P. Comon, Signal Processing 36, 287 (1994).
[3] [3] S. Amari, A. Cichocki, and H. H. Yang, Proc. Int. Symp. on Nonlinear Theory and its Applications 37 (1995).
[4] [4] S. Amari, A. Cichocki and H. H. Yang, Advances in Neural Information Processing Systems 757 (1996).
[5] [5] S. Pandey, N. Billor, and A. Turkmen, Int. Conf. on Statistics, Combinatorics, Mathematics and Applications (2005).
[6] [6] M. Hubert, P. J. Rousseeuw, and K. Vanden Branden, Technometrics 47, 64 (2005).
[7] [7] P. J. Rousseeuw and K. Van Driessen, Technometrics 41, 212 (1999).
[8] [8] S. Cruces, L. Castedo, and A. Cichocki, Neurocomputing 49, 87 (2002).
[9] [9] A. Hyvarinen, IEEE Trans. NN 10, 626 (1999).
[10] [10] A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing (John Wiley and Sons, Cichester, 2002).
[11] [11] X. Giannakopoulos, J. Karhunen, and E. Oja, Int. J. Neural Systems 9, 99 (1999).
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], "Blind noisy image separation based on a new robust independent component analysis network," Chin. Opt. Lett. 4, 573 (2006)