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Course Prefix: CSE Course #: 455 Keywords: null showing 1 to 1 of ~1

CSE 455LR Introduction to Pattern Recognition

Lecture

Foundations of pattern recognition algorithms and machines, including statistical and structural methods. Data structures for pattern representation, feature discovery and selection, classification vs. description, parametric and non-parametric classification, supervised and unsupervised learning, use of contextual evidence, clustering, recognition with strings, and small, sample-size problems.

Credits: 4
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Prerequisites: CSE 250 or EAS 230 and EAS 305 or STA 301 or MTH 411 and Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors Only

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Course Prefix	Subject Description	# Courses
		UGRD	GRAD
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