COSC 750 - Pattern Recognition I

3 Credits (Fall only)
Prerequisite(s): Prerequisites: COSC 528. This course provides students with an introduction to the statistical inference theory that is fundamental to the area of pattern recognition and computer vision. The main topics include Bayes classification, construction of linear classifiers, parameter estimation and nonparametric estimation of probability density functions, classifiers evaluations and feature selection.