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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)