CS 3790 Pattern Recognition (ECE 2372)
Emphasis on machine pattern recognition and learning: Bayes decision theory, parameter estimation, Bayesian belief networks, discriminant functions, supervised learning, nonparametric techniques, feature extraction, principal component analysis, hidden Markov models, expectation-maximization, support vector machines, artificial neural networks, unsupervised learning, clustering, and syntactic pattern recognition.
Requirements and Grading
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Class No.: 29425 (1140)
Times: 6:00 pm - 8:30 pm
Room: BENDM 227
Instructor(s): A. Dallal