Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

Time: Thu 2019-01-17 13.00

Location: sal F3, KTH, Lindstedtsvägen 26, Stockholm

Subject area: Applied and Computational Mathematics - Optimization and Systems Theory

Doctoral student: Axel Ringh , Mathematics

Opponent: Professor Rodolphe Sepulchre University of Cambridge, Cambridge, England

Supervisor: Univ lektor Johan Karlsson

2019-01-17T13:00 2019-01-17T13:00 Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Applied and Computational Mathematics - Optimization and Systems Theory) Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Applied and Computational Mathematics - Optimization and Systems Theory)
Top page top