M E 532: Theory and Applications of Pattern Recognition
- Catalog Description:
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.
- Credits: 3
- Prerequisites: ECE 331 or Math 431 or cons inst
- Official Course Description (pdf)