3-3-0

This course addresses the statistical pattern classification theory and techniques. The material presented is concerned with discrimination and classification in the context of computer vision applications. The course topics include Bayesian decision theory, maximum likelihood estimation, nonparametric techniques, stochastic methods and unsupervised clustering.