ece620-08 - University of Louisville Electrical and...

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University of Louisville Instructors: Dr. Mohamed N. Ahmed Electrical and Computer Engineering Summer 2008 ECE620: Pattern Recognition & Machine Intelligence (3 Credits; Prerequisites EE420 and Engineering Probability) Description : Fundamentals of Statistical, Structural, and Neural Pattern Recognition Approaches: Parametric and Nonparametric Classification, Feature Extraction, Clustering, Self-organizing Nets for Pattern Recognition, and Formal Languages Representation. Current medical and industrial applications. Grading : Homeworks (20%), Projects (40 %), and three Exams (40%). Total grade will be normalized to 100 points and the final grade will be assigned such that: , , and 60 . 85 100 A ≤≤ 70 85 B ≤< 70 C Text Book : R. O. Duda, P. E. Hart and Stork, Pattern Classification and Scene Analysis, Wiley, New York, 2nd Edition 2001. Course Learning Objectives : By the end of this class, students would: 1. Derive and implement Bayes Decision Theory. 2. Perform Parametric and Non Parametric Density Estimation.
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ece620-08 - University of Louisville Electrical and...

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