Fundamentals of Pattern Recognition
This course introduces the fundamentals of pattern recognition for senior undergraduate students. It emphasizes general principles and techniques of pattern recognition. Topics include Bayes decision theory, parametric and non-parametric classifiers, feature extraction and selection techniques, and artificial neural networks. This course will also discuss recent applications of pattern recognition.
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