Georgios Arvanitidis: My main research interest lie in machine learning and how we can use geometry in oder to discover the underlying structure and model the constraints that are implied by the data.
In particular, my work is focused on manifolds that are learned by the data. Therefore, the idea is to generalise many concepts, which are straightforward in linear spaces, on manifolds. Efficient solutions enable many exciting applications in bioinformatics, computer vision, image processing, etc.
Supervisor: Lars Kai Hansen (Main supervisor), Søren Hauberg (Co-supervisor)
Research section: Cognitive Systems
Effective start/end date 01/12/2015 → 30/01/2019
PhD project title: Geometrical Aspects of Manifold Learning
Published as PhD report: Geometrical Aspects of Manifold Learning