ECE277
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ECE 277 - Pattern Recognition
Electrical and Computer Engineering
College of Engineering
Full Course Title
Pattern Recognition
Instructor Name(s)
STAFF
Course Description
Principles and design of pattern recognition systems. Statistical classifiers: discriminant functions; bayes, minimum risk, k-nearest neighbors, perceptrons. Clustering and estimation; criteria; k-means, fuzzy, hierarchal, graph-theoretic, simulated and determininstic annealing; maximum likelihood and bayesian methods: nonparametric methods. Overview of applications.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99