Manifold Structured Prediction: Theory and applications
Gian Maria Marconi - DIBRIS, Università di Genova
In this talk we introduce a modern approach to manifold valued prediction based on structured prediction techniques. We present a statistically consistent estimator for the task of learning functions whose output space is a differentiable manifold. We then show applications on various manifolds ranging from imaging to robotics showing the flexibility of the proposed approach.
2020-04-07 at 3:00 pm