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Course Prefix: CSE   Course #: 455   Keywords: null   showing 1 to 1 of ~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
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 CS, CE, Bioinformatics/CS Majors Only. Students must complete a mandatory advisement session with their faculty advisor.
 
Published: Dec 05, 2019 11:02:43