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Generalized canonical correlation

In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of… 
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Papers overview

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Highly Cited
2017
Highly Cited
2017
We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of… 
2017
2017
Unlike dimensionality reduction (DR) tools for single-view data, e.g., principal component analysis (PCA), canonical correlation… 
2016
2016
Generalized canonical correlation analysis (GCCA) aims at extracting common structure from multiple 'views', i.e., high… 
2015
2015
L'objet de cet article est de proposer une nouvelle technique, l'analyse factorielle discriminante de Tableaux Multiples, qui… 
2014
2014
Generalized canonical correlation analysis (GCANO) is a versatile technique that allows the joint analysis of several sets of… 
Highly Cited
2011
Highly Cited
2011
In this paper, we consider the problem of target detection in passive multistatic radar. In passive radar, we make use of… 
2009
2009
Generalized canonical correlation analysis is a versatile technique that allows the joint analysis of several sets of data… 
2002
2002
A method of K-set canonical correlation analysis capable of joint multivariate nonlinear transformations of data was proposed… 
Highly Cited
2001
Highly Cited
2001
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with…