Theory and Applications of Pattern Recognition

CS 532

Credits: 

3

Pattern recognition systems and components; decision theories and classification; discriminant functions; supervised and unsupervised training; clustering; feature extraction and dimensional reduction; sequential and hierarchical classification; applications of training, feature extraction, and decision rules to engineering problems. Prereq: ECE 331 or Math 431 or consent of instructor.

Crosslisted Departments: 

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