Asymmetric canonical correlation analysis of Riemannian and high ...

In this paper, we introduce a novel statistical model for the integrative analysis of Riemannian-valued functional data and high-dimensional data.

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. James Buenfil. ∗1 and Eardi Lila. †2. 1Department of ...

Department of Statistics

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data with an application to brain-behavior relationships ...

Tangent functional canonical correlation analysis for densities and ...

We propose a method for canonical correlation analysis between paired probability densities or shapes of closed planar curves, routinely used in biomedical ...

Canonical Correlation Analysis on Riemannian Manifolds and Its ...

Our CCA algorithm operates on the product Riemannian manifold representing SPD matrix-valued fields to identify meaningful statistical relationships on the ...

2024 Fall Seminars - Statistics! - Rutgers University

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data with an application to brain-behavior relationships. Wednesday, September ...

publications | Eardi Lila

publications. Asymmetric Canonical Correlation Analysis of Riemannian and High-Dimensional Data. James Buenfil, and Eardi Lila. Preprint , 2024. [arXiv] ...

Fair Canonical Correlation Analysis

Best low multilinear rank approximation of higher-order tensors, based on the riemannian trust-region scheme. SIAM. Journal on Matrix Analysis and Applications, ...

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds

The Canonical Correlation Analysis (CCA) problem on matrix manifolds is formulated and an adaptive CCA algorithm is proposed and applied to a change ...

Canonical Correlation Analysis on Riemannian Manifolds and Its ...

Another example of manifold-valued fields is de- rived from high angular resolution diffusion images (HARDI) and can be used to compute the ensemble average ...

Sparse semiparametric canonical correlation analysis for data of ...

Canonical correlation analysis investigates linear relationships between two sets of variables, but often works poorly on modern datasets due to ...

Bayesian estimation of covariate assisted principal regression for ...

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. April 17, 2024. 88% Match. James Buenfil, Eardi Lila. Methodology. Statistics ...

Local Correlation Clustering with Asymmetric Classification Errors ...

... Canonical Correlation Analysis.- Integrating KPCA ... Analysis.- Means for Analysis of Space - Time Relationship. ... high levee was made and another ...

Asymmetric canonical correlation analysis of Riemannian and high ...

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. 5 mo ago. Research. topic Statistics. arXiv:2404.11781v1 Announce Type: new ...

Exploració per títol - UPCommons

Asymptotic study of canonical correlation analysis: from matrix and analytic approach to operator and tensor approach Open Access . Fine, Jeanne (Institut d ...

Relationship between send-receive asymmetry and directionality of ...

... high image and text classification accuracy. We ... Riemannian optimization procedure that varies ... Finally, the canonical correlation analysis was ...