Eigenproblems in Pattern Recognition

Author:

De Bie Tijl,Cristianini Nello,Rosipal Roman

Publisher

Springer Berlin Heidelberg

Reference36 articles.

1. S. Akaho. A kernel method for canonical correlation analysis. In: Proceedings of the International Meeting of the Psychometric Society (IMPS2001). Springer, Berlin Heidelberg New York, Osaka, July 2001

2. Y. Azar, A. Fiat, A. Karlin, F. McSherry, and J. Saia. Spectral analysis of data. In: Proceedings of The 42nd Annual Symposium on Foundations of Computer Science (FOCS2001), Las Vegas, October 2001

3. F. R. Bach and M. I. Jordan. Kernel independent component analysis. Journal of Machine Learning Research, 3:1–48, 2002

4. M. Barker and W.S. Rayens. Partial least squares for discrimination. Journal of Chemometrics, 17:166–173, 2003

5. Y. Bengio, P. Vincent, and J.F. Paiement. Learning eigenfunctions of similarity: Linking spectral clustering and kernel PCA. Technical Report 1232, Département d’informatique et recherche opérationnelle, Université de Montréal, 2003

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