Jordan MI, Bach FR. (2002). Kernel independent component analysis J Mach Learn Res. 3

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References and models cited by this paper
References and models that cite this paper

Hardoon DR, Szedmak S, Shawe-Taylor J. (2004). Canonical correlation analysis: an overview with application to learning methods. Neural computation. 16 [PubMed]

Koch I, Naito K. (2007). Dimension selection for feature selection and dimension reduction with principal and independent component analysis. Neural computation. 19 [PubMed]

Washizawa Y, Yamashita Y. (2006). Kernel projection classifiers with suppressing features of other classes. Neural Comput. 18

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