Reinforcement Learning for Parameter Control of Image-Based Applications
The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. In this thesis, we examine a particular area in which these difficulties...
Main Author: | |
---|---|
Language: | en |
Published: |
University of Waterloo
2006
|
Subjects: | |
Online Access: | http://hdl.handle.net/10012/832 |