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.
Lai
P L
PL
Applied Computational Intelligence Research Unit, The University of Paisley, Scotland.
Fyfe
C
C
D000465:Algorithms; D001185:Artificial Intelligence; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013223:Statistics as Topic / Q000379:methods*