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Code for outlier detection and multimodal classification on the symmetric positive definite (SPD) manifold of neural time series.

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RiSC - Riemannian Spectral Clustering -

This repository hosts Matlab code for outlier detection RiSC (odenRiSC) and multimodal classifier RiSC (mcRiSC), which are proposed in [1].

Toolboxes we use

Note that to use odenRiSC/mcRiSC, you need the Matlab Riemannian geometry toolbox by Alexandre Barachant, available here: https://github.com/alexandrebarachant/covariancetoolbox

Cite

If you use this code, please cite the following:

[1] Yamamoto, M.S., Sadatnejad, K., Tanaka, T., Islam, Md. R., Dehais, F., Tanaka, Y., & Lotte, F. (2023), Modeling complex EEG data distribution on Riemannian manifold toward outlier detection and multimodal classification, IEEE Transactions on Biomedical Engineering

What’s new (As of July 2023)

Currently, only function codes are available. A script to run the example experiment will be uploaded with the public dataset soon.

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Code for outlier detection and multimodal classification on the symmetric positive definite (SPD) manifold of neural time series.

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