A kernel method for canonical correlation analysis

Details A kernel method for canonical correlation analysis A kernel method for canonical correlation analysis

2006-09-13

arxiv.org/abs/cs/0609071v2

Computer Science

Learning

Full version of paper presented in IMPS2001 (International Meeting of Psychometric Society) 2007-Feb-14: typos in equations (2

Scientific paper

Canonical correlation analysis is a technique to extract common features from a pair of multivariate data. In complex situations, however, it does not extract useful features because of its linearity. On the other hand, kernel method used in support vector machine is an efficient approach to improve such a linear method. In this paper, we investigate the effectiveness of applying kernel method to canonical correlation analysis.

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