Machine Learning for Computer Graphics: A Manifesto and Tutorial

Pacific Graphics 2003 Invited paper.

Abstract

I argue that computer graphics can benefit from a deeper use of machine learning techniques. I give an overview of what learning has to offer the graphics community, with an emphasis on Bayesian techniques. I also attempt to address some misconceptions about learning, and to give a very brief tutorial on Bayesian reasoning.

Paper (PDF)

Slides