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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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Related topics
Related topics
4 relations
Cross-correlation
Helmert–Wolf blocking
Principal component analysis
Broader (1)
Estimation theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Deep Generalized Canonical Correlation Analysis
Adrian Benton
,
Huda Khayrallah
,
B. Gujral
,
D. Reisinger
,
Sheng Zhang
,
R. Arora
RepL4NLP@ACL
2017
Corpus ID: 9471964
We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of…
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2017
2017
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization
Xiao Fu
,
Kejun Huang
,
Mingyi Hong
,
N. Sidiropoulos
,
A. M. So
IEEE International Conference on Acoustics…
2017
Corpus ID: 20908868
Unlike dimensionality reduction (DR) tools for single-view data, e.g., principal component analysis (PCA), canonical correlation…
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2016
2016
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis
Xiao Fu
,
Kejun Huang
,
+5 authors
Tom Michael Mitchell
Industrial Conference on Data Mining
2016
Corpus ID: 9254411
Generalized canonical correlation analysis (GCCA) aims at extracting common structure from multiple 'views', i.e., high…
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2015
2015
L'Analyse Factorielle Discriminante de Tableaux Multiples
Ph. Casin
2015
Corpus ID: 124672929
L'objet de cet article est de proposer une nouvelle technique, l'analyse factorielle discriminante de Tableaux Multiples, qui…
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2014
2014
Incremental Generalized Canonical Correlation Analysis
Angelos Markos
,
A. I. D’Enza
European Conference on Data Analysis
2014
Corpus ID: 28159833
Generalized canonical correlation analysis (GCANO) is a versatile technique that allows the joint analysis of several sets of…
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Highly Cited
2011
Highly Cited
2011
Generalized canonical correlation for passive multistatic radar detection
K. Bialkowski
,
I. Clarkson
,
S. Howard
Symposium on Software Performance
2011
Corpus ID: 18479687
In this paper, we consider the problem of target detection in passive multistatic radar. In passive radar, we make use of…
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2009
2009
Generalized canonical correlation analysis with missing values
M. Velden
,
Y. Takane
Computational statistics (Zeitschrift)
2009
Corpus ID: 31548654
Generalized canonical correlation analysis is a versatile technique that allows the joint analysis of several sets of data…
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Highly Cited
2005
Highly Cited
2005
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I
De-shuang Huang
,
Xiao-Ping Zhang
,
G. Huang
International Conference on Intelligent Computing
2005
Corpus ID: 34020649
2002
2002
Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models
Y. Takane
,
Y. Oshima-Takane
2002
Corpus ID: 5588262
A method of K-set canonical correlation analysis capable of joint multivariate nonlinear transformations of data was proposed…
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Highly Cited
2001
Highly Cited
2001
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis
T. Melzer
,
M. Reiter
,
H. Bischof
International Conference on Artificial Neural…
2001
Corpus ID: 33570889
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with…
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