ECEN649_syllabus - EE 649 Pattern Recognition – Spring...

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Unformatted text preview: EE 649 Pattern Recognition – Spring 2010 Class Meetings: TR 2:20PM–3:35PM Room: Zachry 128D Credits : 3 Course Objective: This course aims to introduce the basic elements of Statistical Pat- tern Recognition, focusing on critical mathematical and statistical aspects underlying pattern recognition methods. After a brief review of probability theory, we will cover fundamental concepts of classification, such as Bayesian classification and classification consistency, followed by a study of several families of classification rules, error estima- tion, dimensionality reduction, and model selection, including an introduction to Vapnik- Chervonenkis theory. Performance will be assessed by means of one midterm exam and one final exam, four homework assignments, and one computer project. Instructor: Ulisses M. Braga-Neto Room: 219C E-mail: [email protected] Office Hours: TR 3:40PM – 4:40PM (or by appointment) Class Website: ∼ ulisses/ECEN649/index.html Primary Texts (on reserve at Evans Library): 1. L. Devroye, L. Gyorfi and G. Lugosi, A Probabilistic Theory of Pattern Recognition , Springer, 1996 (DGL)....
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This note was uploaded on 02/08/2010 for the course ECEN 649 taught by Professor Staff during the Spring '08 term at Texas A&M.

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ECEN649_syllabus - EE 649 Pattern Recognition – Spring...

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