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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
Wikipedia

Related topics

Related topics

4 relations
Cross-correlationHelmert–Wolf blockingPrincipal component analysis

Broader (1)

Estimation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Deep Generalized Canonical Correlation Analysis
We present Deep Generalized Canonical Correlation Analysis (DGCCA) -- a method for learning nonlinear transformations of… Expand
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2019
2019
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data
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
Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms
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
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
Early detection of incipient faults in industrial processes is increasingly becoming important, as these faults can slowly… Expand
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2015
2015
Kernel Generalized Canonical Correlation Analysis
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: Representation Learning via Generalized CCA
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
Generalized canonical correlation analysis for classification
For multiple multivariate datasets, we derive conditions under which Generalized Canonical Correlation Analysis improves… Expand
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2014
2014
Incremental Generalized Canonical Correlation Analysis
Generalized canonical correlation analysis (GCANO) is a versatile technique that allows the joint analysis of several sets of… Expand
2002
2002
Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models
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
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with… Expand
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