Paper · 2004

Canonical Correlation Analysis: An Overview with Application to Learning Methods

Data science and machine learning

“Canonical Correlation Analysis: An Overview with Application to Learning Methods” by David R. Hardoon, Sandor Szedmak and John Shawe-Taylor. Neural Computation, Volume 16 (12), Pages 2639--2664, 2004 Earlier version: Technical Report CSD-TR-03-02, 2003.

4275 citations. Google Scholar, retrieved 10 November 2026

Read nextKCCA for different level precision in content-based image retrieval

Paper · 2003

Related