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… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
024619962017

Papers overview

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2017
2017
We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of… (More)
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2015
2015
A classical problem in statistics is to study relationships between several blocks of variables. The goal is to find variables of… (More)
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2015
2015
Regularized Generalized Canonical Correlation Analysis (RGCCA) is currently geared for the analysis two-way data matrix. In this… (More)
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2014
2014
For multiple multivariate data sets, we derive conditions under which Generalized Canonical Correlation Analysis improves… (More)
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2013
2013
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Regularized Generalized Canonical Correlation Analysis (RGCCA) is a component-based approach which aims at studying the… (More)
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2011
2011
In this paper, we consider the problem of target detection in passive multistatic radar. In passive radar, we make use of… (More)
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2009
2009
Two new methods for dealing with missing values in generalized canonical correlation analysis are introduced. The first approach… (More)
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2008
2008
Canonical Correlation Analysis (CCA) is a well-known method for feature extraction and dimension reduction. CCA can… (More)
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2005
2005
We have proposed a new feature extraction method and a new feature fusion strategy based on generalized canonical correlation… (More)
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2001
2001
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with… (More)
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