canonical correlation analysis
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 = ...
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Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations
... Probabilistic Canonical Correlation Analysis (BPCCA), which achieves both two-view combination and matrix structure preservation without violating the genera- tive nature of PCCA or imposing ...
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Sparse and smooth canonical correlation analysis through rank 1 matrix approximation
... Canonical correlation analysis (CCA) [1] is a multivariate analysis method, the aim of which is to identify and quan- tify the association between two sets of ...the correlation between ...
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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 ...
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Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data
... Canonical correlation analysis (CCA) is a statistical method for exploring the relationships between two multivariate sets of variables that are measured on the same ...The canonical ...
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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 ...
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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 ...
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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 ...
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MULTI-LEVEL CANONICAL CORRELATION ANALYSIS FOR STANDARD-DOSE PET IMAGE ESTIMATION
... Positron release tomography (PET) pictures are extensively used as a piece of various clinical applications, for instance, tumor area and mind issue investigation. To gain PET pictures of systematic quality, a sufficient ...
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Ownership structures and firm performance in Nigeria: A canonical correlation analysis
... the Canonical correlation analysis is the answer as it is a method that enables the assessment of the relationship between two sets of multiple ...
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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 ...
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CCA: An R Package to Extend Canonical Correlation Analysis
... These solutions were assessed on a real data set coming from a recent nutrition study. We maintain a web page about canonical correlation analysis. It will always contain the latest release of the ...
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Canonical correlation analysis; An overview with application to learning methods
... [12], Canonical correlation analysis can be seen as the problem of finding basis vectors for two sets of variables such that the correlation between the projections of the variables onto these ...
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Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
... Two-Dimensional Canonical Correlation Analysis (2DCCA) [12, 13], and Two- Dimensional Linear Discriminant Analsis (2DLDA) [14] are some well-known matrix-based algorithms constructed based on this ...
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Time-series alignment by non-negative multiple generalized canonical correlation analysis
... more than one m/z bin for aligning. Tibshirani [4] pro- posed hierarchical clustering for aligning. Kirchner et al. [5] resorted to robust point matching as developed in medical image analysis. All these previous ...
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Canonical correlation analysis of the career attitudes and strategies inventory and the adult career concerns inventory
... The canonical correlation analysis showed considerable overlap between the two sets of measures, but each set contributes meaningful unique ...
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Nigeria Government’s Expenditure on Economic and Social Service Development: A Canonical Correlation Analysis Approach
... employ Canonical Correlation to investigate the effect and relationship between Nigeria Government’s expenditure and economic and social services over the period of fifty-five (55) years ...data ...
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Penalized canonical correlation analysis to quantify the association between gene expression and DNA markers
... intraset correlation is accounted for by the grouping effect of the ridge penalty ...penalized canonical correlation analysis has a built-in variable selection proce- dure, so multiple testing ...
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Adaptive Kernel Canonical Correlation Analysis Algorithms for Nonparametric Identification of Wiener and Hammerstein Systems
... This paper treats the identification of nonlinear systems that consist of a cascade of a linear channel and a nonlinearity, such as the well-known Wiener and Hammerstein systems. In particular, we follow a supervised ...
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Mutual information inspired feature selection using kernel canonical correlation analysis
... This paper proposes a filter-based feature selection method by combining the measurement of kernel canonical correlation analysis (KCCA) with the mutual information (MI)-based feature selection ...
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