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Independent component analysis (ICA) – the theory of mixed, independent, non-Gaussian sources – has a central role in signal processing, computer vision and pattern recognition. One of the most fundamental conjectures of this research field is that independent subspace analysis (ISA) – the extension of the ICA problem, where groups of sources are independent – can be solved by traditional ICA followed...
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