Manifold Structured Prediction: Theory and applications
07 Apr 2020, 15:00 — Remote
Speaker:
Gian Maria Marconi — DIBRIS, Università di Genova
Gian Maria Marconi — DIBRIS, Università di Genova
Abstract:
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.
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.
Bio: