canonical correlation analysis (CCA)
Canonical Correlation Analysis »
... through canonical correlation analysis (CCA), that there is a significant relationship between these two sets of ...highest correlation coefficient found in the present study was l 1 = ...
22
Stochastic Canonical Correlation Analysis
... of canonical correlation analysis (CCA), ...population canonical correlation and directions up to arbitrarily small ...estimated canonical directions and the population solution, ...
46
Sparse and smooth canonical correlation analysis through rank 1 matrix approximation
... Canonical correlation analysis (CCA) is a well-known technique used to characterize the relationship between two sets of multidimensional variables by finding linear combinations of variables with ...
14
Sparse Kernel Canonical Correlation Analysis
... Abstract—Canonical correlation analysis (CCA) is a multi- variate statistical technique for finding the linear relationship between two sets of ...
6
Statistical Consistency of Kernel Canonical Correlation Analysis
... kernel canonical correlation analysis (CCA) has been applied in many contexts, the conver- gence of finite sample estimates of the associated functions to their population counterparts has not yet ...
23
Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
... for canonical correlation analysis ...two-dimensional canonical correlation ...dimensional Canonical Correlation Analysis (2DCCA), and for further extending the ...
7
Bayesian Canonical Correlation Analysis
... Canonical correlation analysis (CCA) is a classical method for seeking correlations between two multivariate data ...factor analysis (IBFA), for which we now provide a Bayesian ...
39
Canonical Correlation Analysis And Network Data Modeling: Statistical And Computational Properties
... Canonical correlation analysis (CCA), first introduced by Hotelling (1936), is a fundamental statistical tool to characterize the relationship between two groups of random variables and finds a wide ...
177
Deep Generalized Canonical Correlation Analysis
... is a good fit for only one of the views. These methods are often based on canonical correlation analysis (CCA), a classical statistical technique proposed by Hotelling (1936). CCA-based tech- niques ...
6
A Canonical Correlation Analysis of Sectoral Composition of GDP and Development in Asia
... a canonical correlation analysis (CCA) as a technique for determining if there is a relationship between two sets of variables, one measuring sectoral GDP com- position and the other measuring ...
14
MULTI-LEVEL CANONICAL CORRELATION ANALYSIS FOR STANDARD-DOSE PET IMAGE ESTIMATION
... is Canonical Correlation Analysis(CCA), which has been broadly connected in different undertakings, for example, sickness characterization, populace contemplates, picture enlistment, and restorative ...
8
Adaptive DOA Estimation in MIMO Radar based on Canonical Correlation Analysis Method
... The canonical correlation analysis (CCA)[9] and the Capon spectral estimators are proved to belong to the nonparametric matched-filterbank (MAFI) class[10,11], and applied into magnitude squared ...
7
Palmprint Identification Integrating Left and Right by Local Discriminant Canonical Correlation Analysis
... Canonical correlation analysis (CCA) is a well-known multivariate analysis method to evaluate the correlations between two sets of multi-modal ...
10
Canonical correlation analysis; An overview with application to learning methods
... on canonical correlation analysis and have established a novel general approach to retrieving images based solely on their ...kernel Canonical Correlation Analysis is a powerful ...
39
A note on the ordinal canonical correlation analysis of two sets of ranking scores
... finding canonical rank scores and canonical correlation from an ordinal dataset, the conventional canonical correlation analysis is ...ordinal canonical correlation ...
23
A mixture of variational canonical correlation analysis for nonlinear and quality-relevant process monitoring
... of Canonical correlation analysis (VBMCCA)-based process monitoring method was proposed in this paper to predict and diagnose these hard-to-measure quality-related variables ...
9
Bridging Languages through Images with Deep Partial Canonical Correlation Analysis
... Partial Canonical Correlation Analysis ...ical correlation conditioned on a shared third variable, we introduce a non-linear Deep PCCA (DPCCA) model, and de- velop a new stochastic iterative ...
12
Canonical Correlation Analysis Of Neonatal Anthropometric Indicators And Maternal Socio - Demographic Factors
... The correlation between B n and is termed canonical correlation ...the canonical variates is the squared canonical correlation (canonical roots) ...the canonical ...
5
Multivariate text mining for process improvement using cross-canonical correlation analysis
... is Canonical Correlation? Interrelationships between sets of multiple independent variables and multiple dependent measures quantify the strength of the ...of Canonical Correlation ...
16
APPLICATION OF CANONICAL CORRELATION ANALYSIS ON SCIENCE PRODUCTION
... and Canonical Correlation Analysis to investigate the relationship between the sets of the ...Three Canonical roots were obtained and only two are statistically significant, the first showing ...
10