Graduate Student Seminar: Introduction to Diffusion Maps, Speaker: Amit Halevi

Graduate Student Seminars
  • Amit Halevi
  • PACM
  • Introduction to Diffusion Maps
Feb 13, 2018
12:30 pm
Fine Hall 214

Title:  Introduction to Diffusion Maps

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.