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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 or EAS 240 or CSE 115 or EAS 999TRCP) and EAS 305 or STA 301 or MTH 411; Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors Only

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Subject Prefix	Subject Description	# Courses
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