Spring 2007 Special Topics Course : Pattern Recognition
ECGR 4090/6090/8090 (3 credit hours) This course instructs students in the use probablistic and statistical mathematics to develop computational models for the purpose of recognizing patterns in low-dimensional and high-dimensional spaces. Course topics include probability theory, introductory information theory, linear regression models, linear classifiers. Advanced topics in pattern recognition are also discussed and will vary each year.
|
|
|
|
|