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E C 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)

    Moodle and D2L are being retired. Already, many Engineering courses are in Canvas rather than Moodle. Rather than using the Moodle links below, it is recommended that you use the Learn@UW site (learnuw.wisc.edu) to gain access to all of the LSM choices available to campus.