Separation of Nonlinear Image Mixtures by Denoising Source Separation

Author:

Almeida Mariana S. C.,Valpola Harri,Särelä Jaakko

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Jutten, C., Karhunen, J.: Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. International Journal of Neural Systems 14(5), 267–292 (2004)

2. Almeida, L.: Nonlinear Source Separation. Morgan and Claypool (2005) (in press)

3. Särelä, J., Valpola, H.: Denoising source separation. Journal of Machine Learning Research 6, 233–272 (2005)

4. Raju, K., Särelä, J.: A denoising source separation based approach to interference cancellation for DS-CDMA array systems. In: Proceedings of the 38th Asilomar Conference on Signals, Systems, and Computers, Pacific grove, CA, USA, pp. 1111–1114 (2004)

5. Ilin, A., Valpola, H., Oja., E.: Semiblind source separation of climate data detects El Niño as the component with the highest interannual variability. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), Montréal, Québec, Canada, pp. 1722–1727 (2005)

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