Paper · 2007

A Metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning

Data science and machine learning

“A Metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning” by Sandor Szedmak, Tijl De Bie and David R. Hardoon. In Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN), 2007.

21 citations. Google Scholar, retrieved 10 November 2026

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