Bài 12: ICA by Nonlinear Decorrelation and Nonlinear PCA

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Bài 12: ICA by Nonlinear Decorrelation and Nonlinear PCA

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This chapter starts by reviewing some of the early research efforts in independent component analysis (ICA), especially the technique based on nonlinear decorrelation, that was successfully used by Jutten, H´ rault, and Ans to solve the first ICA problems. e Today, this work is mainly of historical interest, because there exist several more efficient algorithms for ICA. Nonlinear decorrelation can be seen as an extension of second-order methods such as whitening and principal component analysis (PCA)....

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