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 ICS 583: Pattern Recognition

​Course Information

Designation:   Elective Course

Course Level:   Graduate


Prerequisite(s) by Topic: 

Prerequisite: Consent of the Instructor

Catalog Description: 

Introduction to pattern recognition, feature extraction, and classification. Bayesian decision theory, maximum likelihood and Bayesian parameter ​estimation, Nonparametric pattern classification techniques, density estimation. Pattern Classification using linear discriminant functions. Unsupervised machine learning, clustering, vector quantization, K-means. Various methods of pattern recognition, extraction methods, statistical classification, various classifiers and case studies.​