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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… Expand
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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… Expand
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2019
2019
The sum-of-correlation (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low… Expand
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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… Expand
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Highly Cited
2018
Highly Cited
2018
Early detection of incipient faults in industrial processes is increasingly becoming important, as these faults can slowly… Expand
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2015
2015
There is a growing need to analyze datasets characterized by several sets of variables observed on a single set of observations… Expand
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… Expand
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2014
2014
For multiple multivariate datasets, we derive conditions under which Generalized Canonical Correlation Analysis improves… Expand
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2014
2014
Generalized canonical correlation analysis (GCANO) is a versatile technique that allows the joint analysis of several sets of… Expand
2002
2002
A method of K-set canonical correlation analysis capable of joint multivariate nonlinear transformations of data was proposed… Expand
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Highly Cited
2001
Highly Cited
2001
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with… Expand
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