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From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification., , , , , and . GSI, volume 9389 of Lecture Notes in Computer Science, page 595-604. Springer, (2015)Color Sparse Representations for Image Processing: Review, Models, and Prospects., , and . IEEE Trans. Image Processing, 24 (11): 3978-3989 (2015)Subspace metrics for multivariate dictionaries and application to EEG., , and . ICASSP, page 7178-7182. IEEE, (2014)On the need for metrics in dictionary learning assessment., , and . EUSIPCO, page 1427-1431. IEEE, (2014)Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals., , , , and . IEEE Trans. Signal Processing, 60 (4): 1597-1611 (2012)Preprocessing for classification of sparse data: Application to trajectory recognition., , , and . SSP, page 37-40. IEEE, (2012)From neuronal cost-based metrics towards sparse coded signals classification., , , , , and . ESANN, (2012)Online SSVEP-based BCI using Riemannian geometry., , , , , and . Neurocomputing, (2016)Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations., , , , and . CoRR, (2016)Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users., , and . EUSIPCO, page 1685-1689. IEEE, (2018)