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Course Prefix: CSE   Course #: 455   Keywords:     showing 0 to 1

CSE 455LEC 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: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Requisites: Pre-Requisites: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and EAS 305 or STA 301 or MTH 411; Approved CS, CE, Bioinformatics/CS Majors Only. Students must complete a mandatory advisement session with their faculty advisor.
Visit the Office of the Registrar’s Class Schedules page for more detailed and updated information.
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Published: Jun 21, 2022 10:20:50