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From Euclidean to Riemannian Centers of Classes: Information Geometry for SSVEP Classification
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layout.md
abstract.tex sectionIntroduction_.tex sectionClassificatio.tex figures/bregman_projection1/bregman_projection1.png iflatexml_else_changes_fi_The__.tex section_Experimental_results_label_sec__.tex figures/esta-expe/esta-expe.png figures/eeg_ssvep_signal/eeg_ssvep_signal.png label_fig_esta_expe_label_fig__.tex begin_figure_h_centering_subfigure__.tex figures/covmat-eps-converted-to1/covmat-eps-converted-to1.png figures/covmat11-eps-converted-to1/covmat11-eps-converted-to1.png The_MDM_classifier_is_simple__.tex figures/swel-eps-converted-to1/swel-eps-converted-to1.png figures/alpha_cross-eps-converted-to1/alpha_cross-eps-converted-to1.png Riemannian_distances_significantly_improve_classification__.tex section_Conclusion_label_sec_conclusion__.tex iflatexml_else_vspace_6pt_fi__.tex