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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
2019
Highly Cited
2019
We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of… 
Highly Cited
2018
Highly Cited
2018
In this paper, we first study a generalized canonical correlation analysis (CCA)-based fault detection (FD) method aiming at… 
Highly Cited
2018
Highly Cited
2018
  • K. Pilario, Yi Cao
  • IEEE Transactions on Industrial Informatics
  • 2018
  • Corpus ID: 54452598
Early detection of incipient faults in industrial processes is increasingly becoming important, as these faults can slowly… 
2015
2015
L'objet de cet article est de proposer une nouvelle technique, l'analyse factorielle discriminante de Tableaux Multiples, qui… 
Highly Cited
2015
Highly Cited
2015
Multiview LSA (MVLSA) is a generalization of Latent Semantic Analysis (LSA) that supports the fusion of arbitrary views of data… 
2014
2014
Generalized canonical correlation analysis (GCANO) is a versatile technique that allows the joint analysis of several sets of… 
Highly Cited
2014
Highly Cited
2014
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… 
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…