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Oct 20, 2015 · Canonical Correlation Analysis (CCA) is a standard statistical technique for finding linear projections of two arbitrary vectors that are ...
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Abstract. Canonical Correlation Analysis (CCA) is a standard statistical tech- nique for finding linear projections of two arbitrary vectors that are ...
Jun 14, 2016 · Abstract:In this paper, we address the problem of hidden common variables discovery from multimodal data sets of nonlinear high-dimensional ...
A technical review of canonical correlation analysis for ... - NCBI
www.ncbi.nlm.nih.gov › PMC7416047
Jun 27, 2020 · CCA is a statistical method that finds linear combinations of two random variables so that the correlation between the combined variables is ...
A Local Method for Canonical Correlation Analysis. https://doi.org/10.1007/978-3-319-25207-0_39 · Full text. Journal: Natural Language Processing and Chinese ...
Local canonical correlation analysis (CCA) is a multivariate method that takes into account the spatial correlation of neighboring voxels rather than ...
Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data.
Apr 1, 2018 · The 2D local CCA method is extended to 3D for fMRI data analysis and solved with an efficient sequential quadratic programming algorithm.
Functional Canonical Correlation Analysis (FCA) is a tool to quantify correlations be- tween pairs of observed random curves for which a sample is available.
In this paper, a new feature extraction algorithm is developed based on canonical correlation analysis (CCA), called Local Discrimination CCA (LDCCA).