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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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2019
2019
When processing face images, we usually use the data analysis tools to find the underlying relations in data. As an extraction… 
2017
2017
  • 2017
  • Corpus ID: 37142161
2 Multiblock data analysis with the RGCCA package 1 2.1 Regularized Generalized Canonical Correlation Analysis… 
2015
2015
L'objet de cet article est de proposer une nouvelle technique, l'analyse factorielle discriminante de Tableaux Multiples, qui… 
2015
2015
L'Analyse Canonique Generalisee Regularisee (RGCCA) permet l'´ etude des relations entre differents blocs de donnees. Dans ce… 
2015
2015
Several examples of either three-way data or multiblock data can be found in a variety of domains including chemometrics… 
2013
2013
Regularized Generalized Canonical Correlation Analysis (RGCCA) and Partial Least Squares Path Modeling (PLSPM) have been proposed… 
2011
2011
In face recognition, image resolution is an important factor which has a great influence on the recognition rate. In traditional… 
2011
2011
Functional connectivity can be evaluated by temporal correlation between spatial neurophysiologic events or correlation between… 
2010
2010
Common fMRI data processing techniques usually minimize a temporal cost function or fit a temporal model to extract an activity… 
2005
2005
We have proposed a new feature extraction method and a new feature fusion strategy based on generalized canonical correlation…