Speaker: Alvaro Almeida Gomez
Center for Mathematical Modeling, U. de Chile
Date: Monday, November 04, 2024 at 2:30 p.m. Santiago time

Abstract:  

We introduce the nonlinear dimensionality reduction problem known as Manifold Learning and present the diffusion maps algorithm (Coiffman and Lafon, 2006). Diffusion maps utilize the connectivity between data points through a diffusion process on the dataset. Additionally, we show some applications of this technique to 2D
tomography reconstruction when the angles are unknown.

Venue: John Von Neumann Seminar Room, CMM, Beauchef 851, North Tower, 7th Floor