KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS-Reference-Cited by-同舟云学术

KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS

Published:2000-10 Issue:05 Volume:10 Page:365-377
ISSN:0129-0657
Container-title:International Journal of Neural Systems
language:en
Short-container-title:Int. J. Neur. Syst.

Author:

LAI P. L.¹,FYFE C.¹

Affiliation:

1. Applied Computational Intelligence Research Unit, The University of Paisley, Scotland, UK

Abstract

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Link

https://www.worldscientific.com/doi/pdf/10.1142/S012906570000034X

Reference9 articles.

1. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture

2. Generalizations of principal component analysis, optimization problems, and neural networks

3. A neural implementation of canonical correlation analysis

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