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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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