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2025 Winter
Apr 22, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 835 - Pattern Recognition
Statistical pattern recognition; parameter estimation and supervised learning; nonparametric techniques; linear discriminant funcitons; unsupervised learning and clustering; syntactic pattern recognition; applications. Prior to registering for this course, students should have a background in algorithms and data structures comparable to the senior undergraduate level.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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Release: 8.7.2.4