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May 13, 2024
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CSCE 509 - Pattern Recognition 3 Credit Hour(s)
3 Lecture Hour(s) 0 Lab Hour(s)
Classificatory and descriptive approached to pattern recognition and machine perception. In the former category: statistics v. deterministic, direct vs. indirect, and parametric vs. non-parametric approached to pattern classification. In the latter category: various techniques of scene analysis including picture segmentation, raster geometry as well as linguistic and relational approached to picture description.
Prereq: MATH 302 or equivalent
Rstr: Permission of instructor required
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