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Approximate Joint Diagonalization According to the Natural Riemannian Distance.

, , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 290-299. (2017)

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A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices., , , , and . EMBC, page 3198-3201. IEEE, (2017)Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation., , , and . CoRR, (2023)Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models., , , and . ICASSP, page 5979-5983. IEEE, (2020)Mining the bilinear structure of data with approximate joint diagonalization., , , and . EUSIPCO, page 667-671. IEEE, (2016)t-WDA: A novel Discriminant Analysis applied to EEG classification., , and . EUSIPCO, page 1793-1797. IEEE, (2023)The Fisher-Rao geometry of CES distributions., , , , and . CoRR, (2023)A Riemannian approach to blind separation of t-distributed sources., , , and . EUSIPCO, page 965-969. IEEE, (2020)On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data., , , and . EUSIPCO, page 856-859. IEEE, (2021)Riemannian Classification of EEG Signals with Missing Values., , , and . EUSIPCO, page 842-846. IEEE, (2022)A Riemannian Framework for Low-Rank Structured Elliptical Models., , , , and . IEEE Trans. Signal Process., (2021)