Machine Learning for Computer Graphics: A Manifesto and Tutorial

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.

• Type: Conference
• Year: 2003
• Where: PG
• Authors: Aaron Hertzmann
• Keywords: Bayesian Techniques, Graphics Community, Machine Learning Techniques, PG 2003