Titlebook: Independent Component Analysis and Blind Signal Separation; 6th International Co Justinian Rosca,Deniz Erdogmus,Simon Haykin Conference pro

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Separation of Nonlinear Image Mixtures by Denoising Source Separation mapping. Learning is guided by a denoising function which uses prior knowledge about the sparsity of the edges in images. The main benefit of the method is that it is simple and computationally efficient. Separation results on a real-world image mixture proved to be comparable to those achieved wit