ECE 4553
Introduction to Pattern Recognition
An introduction to pattern recognition and its applications. Topics include Bayesian decision theory and parameter estimation, feature generation and selection, parametric vs. nonparametric classification techniques, supervised vs. unsupervised, learning and clustering.
Prerequisites & course information
Prerequisites : CS 1003 or CS 1073 , and successful completion of 110 ch in the engineering program.
Sources
- Course catalogue ↗2026-2027