Nov14

## Scientific Computing and Matrix Computations Seminar: Estimating a manifold from noisy samples

380 Soda Hall

- Yariv Aizenbud, Tel Aviv Univ.

- Electrical Engineering and Computer Sciences (EECS)

Estimating a manifold from (possibly noisy) samples appears to be a difficult problem. Indeed, even after decades of research, all manifold learning methods do not actually "learn" the manifold, but rather try to embed it into a low-dimensional Euclidean space. This process inevitably introduces distortions and cannot guarantee a robust estimate of the manifold. In this talk, we will discuss a...