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, the use of contextual evidence, clustering, and small sample-size problems. Programming projects will include handling of pictorial and textual patterns.

None presently available.

2 years of college mathematics, including probability theory.