UB - University at Buffalo, The State University of New York

Introduction to Pattern Recognition

Foundations of pattern recognition algorithms and machines, including statistical and structural methods. Data structures for pattern representation, feature discovery and selection, classification vs. description, parametric and non-parametric classification, supervised and unsupervised learning, use of contextual evidence, clustering, recognition with strings, and small sample-size problems. programming projects.

http://www.cse.buffalo.edu/~jcorso/t/CSE555

2 years of college mathematics, including probability theory.