FAQ

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)
Wikipedia

Topic mentions per year

Topic mentions per year

1996-2017
024619962017

Related topics

Related topics

3 relations
Cross-correlationPrincipal component analysis

Broader (1)

Estimation theory

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Generalized canonical correlation
Estimation theory
Principal component analysis
Cross-correlation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Deep Generalized Canonical Correlation Analysis
We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2015
2015
Kernel Generalized Canonical Correlation Analysis
A classical problem in statistics is to study relationships between several blocks of variables. The goal is to find variables of… (More)
Is this relevant?
2015
2015
Multiway Regularized Generalized Canonical Correlation Analysis
Regularized Generalized Canonical Correlation Analysis (RGCCA) is currently geared for the analysis two-way data matrix. In this… (More)
  • figure 1
Is this relevant?
2014
2014
Generalized canonical correlation analysis for classification
For multiple multivariate data sets, we derive conditions under which Generalized Canonical Correlation Analysis improves… (More)
  • table 1
  • table 7
  • figure 2
Is this relevant?
2013
2013
Regularized Generalized Canonical Correlation Analysis Extended to Symbolic Data
  • 2013
Regularized Generalized Canonical Correlation Analysis (RGCCA) is a component-based approach which aims at studying the… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2011
2011
Generalized canonical correlation for passive multistatic radar detection
In this paper, we consider the problem of target detection in passive multistatic radar. In passive radar, we make use of… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 6
  • figure 4
Is this relevant?
2009
2009
Generalized canonical correlation analysis with missing values
Two new methods for dealing with missing values in generalized canonical correlation analysis are introduced. The first approach… (More)
  • table 3
  • table 4
  • table 5
  • table 6
  • table 7
Is this relevant?
2008
2008
Generalized Canonical Correlation Analysis Using GSVD
Canonical Correlation Analysis (CCA) is a well-known method for feature extraction and dimension reduction. CCA can… (More)
  • figure 2
  • figure 1
  • figure 3
  • table I
Is this relevant?
2005
2005
Face Recognition Based on Generalized Canonical Correlation Analysis
We have proposed a new feature extraction method and a new feature fusion strategy based on generalized canonical correlation… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
Is this relevant?
2001
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… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?