A study of the fixed points and spurious solutions of the deflation-based FastICA algorithm
The FastICA algorithm is one of the most popular algorithms in the domain of independent component analysis (ICA). Despite its success, it is observed that FastICA occasionally yields outcomes that do not correspond to any true solutions (known as demixing vectors) of the ICA problem. These outcomes...
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Veröffentlicht in: | Neural computing & applications 2017, Vol.28 (1), p.13-24 |
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Sprache: | eng |
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