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 or Corequisites: ECE 331 or Math 431 or cons inst
• Official Course Description (pdf)

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• Past Semester Courses

Spring 2011 (1114)

COMPSCI 532 Theory and Applications of Pattern Recognition, Spring11 (1) Sections: 001