This page refers to the Spring 2013 offering of CSE 455 only. The information on this page does not necessarily apply to every offering of CSE 455.
Spring 2013
10152
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.
EAS 305, MTH 309, CSE 250