论文信息 - Kernel and Nonlinear Canonical Correlation Analysis

Kernel and Nonlinear Canonical Correlation Analysis

We review a neural implementation of the statistical technique of Canonical Correlation Analysis (CCA) and extend it to nonlinear CCA. We then derive the method of kernel-based CCA and compare these two methods on real and artificial data sets before using both on the Blind Separation of Sources.

Colin Fyfe | Pei Ling Lai | P. L. Lai | C. Fyfe

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