This page refers to the Fall 2002 offering of CSE 655 only. The information on this page does not necessarily apply to every offering of CSE 655.
Fall 2002
14861
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.
Ph.D.: This course does not fulfill core area or core course requirements.
M.S.: This course does not fulfill core area or core course requirements.