Graduate Student Seminar: Introduction to Diffusion Maps

Speaker: 
Amit Halevi
Date: 
Feb 13 2018 - 12:30pm
Event type: 
Graduate Student Seminar
Room: 
Fine Hall 214
Abstract: 

Blending ideas from discrete and continuous Markov processes with harmonic methods, diffusion maps are a tool for low-dimensional representation of data, seeking to reconstruct a low-dimensional submanifold upon which the clean data are thought to lie.  Generally inexpensive to implement and fairly robust to noise, they are an important tool in modern machine learning.