This repo contains a set of scripts/packages/supplementary materials that are associated with the manuscripts and papers. Please see the list below for introduction to available folders and markdown files within each folder for detailed description.
- This folder contains an online supplementary pdf file for the paper titled "On the Spherical Laplace Distribution" at the 26th International Conference on Information Fusion.
- A set of
Rscripts to replicate examples from a manuscript titled "Multiple Latent Spaces Comparison Using Topological Analysis".
MATLABlibrary for learning with functional connectivity represented as correlation matrices, which are symmetric positive-definite matrices with unit diagonals. We consider a Riemannian framework to view the space of correlation matrices as a quotient of SPD manifold equipped with AIRM.- See
README.mdin the folder for- adding the path,
- the list of available functions, and
- some examples with our library.
- This library is associated with the following paper:
You and Park (2022). Geometric learning of functional brain network on the correlation manifold. Scientific Reports.
MATLABlibrary to study functional connectivity represented as symmetric postiive-definite (SPD) matrices.- Algorithms for learning on the SPD manifold are implemented with AIRM and LERM geometries.
- See
README.mdin the folder for- adding the path,
- the list of available functions, and
- some examples with our library.
- This library is associated with the following paper:
You and Park (2021). Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity. NeuroImage.