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Course Description

 
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509. PATTERN RECOGNITION. (3, O, 3).
 

Classificatory and descriptive approaches to pattern recognition and machine perception. In the former category: statistics vs. deterministic, direct vs. indirect and parametric vs. non- parametric approaches to pattern classification. In the latter category: various techniques of scene analysis including picture segmentation, raster geometry as well as linguistic and relational approaches to picture description. Prereq: MATH 302 or equivalent and consent of instructor. Same as EECE 509.