by Marco Congedo, CNRS, University Grenoble Alpes Abstract: The Riemannian geometry of positive definite matrices has allowed the introduction of state-of-the-art classification methods for brain-computer interface (BCI) data. The use of this framework is steadily increasing in the BCI community, sustained by its excellent classification accuracy, robustness and ability to operate transfer learning. In this talk the fundamental […]
by Dr. Özgür Gürçan (CEDEX, France) Further details can be found on the webpage of the institutes of Physics at TU Berlin: https://www.physics.tu-berlin.de/aktuelles/kolloquien/kolloquium_der_physik/ and https://www.physics.tu-berlin.de/fileadmin/f2/Physik_Bilder/Veranstaltungen/Kolloquium/PhysKoll_Gurcan_2019_21_11.pdf
