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Apr 20, 2024
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PHYS 453 - Pattern Recognition
Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3
Terms Offered: Spring, even years
Introduces pattern recognition methods and applications: decision theory, Principal Component Analysis, neural networks, linear and non-linear discriminant functions, supervised and unsupervised learning, feature extraction, Hidden Markov Models, Kalman Filters, and related methods in the area of applied computing. Prerequisite: CS 120 .
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