| Paper ID | SiG-DML_L1.2 | ||
| Paper Title | High-Dimensional Data Learning Based on Tensorial-Singular Space of Tensor Train Cores | ||
| Authors | Ouafae Karmouda, Jeremie Boulanger, Remy Boyer, University of Lille, France | ||
| Session | SiG-DML_L1: Learning Theory and Algorithms | ||
| Location | Atlantic 3 | ||
| Session Time | Tuesday, 30 August, 11:20 - 13:00 | ||
| Topic | SiG-DML - Signal and Data Analytics for Machine Learning | ||