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Sep 27, 2024
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CSCE 509 - Pattern Recognition Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
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.
Prerequisite(s): MATH 302 or equivalent
Restriction(s): Permission of instructor required
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