EEL6825: Syllabus

EEL 6825 - Pattern Recognition - Fall 1998

Instructor: John G. Harris
Office: NEB 453
Phone: (352) 392-2652
Email: harris@cnel.ufl.edu
Homepage: http://www.cnel.ufl.edu/analog/harris.html
Office hours: MTW 4th period, 10:40am-11:30am
US Mailing Address:
Department of Electrical and Computer Engineering
University of Florida
453 NEB, Bldg. 33
PO Box 116130
Gainesville, FL 32611-6130

Prerequisite: The course assumes previous programming experience and some familiarity with linear algebra and statistics (normally obtained through undergraduate coursework).

Class Meeting: MWF 3rd period, BEN 328

Class Homepage: http://www.cnel.ufl.edu/analog/courses/EEL6825

Required textbook: Pattern Classification (2nd ed.), Richard Duda, Peter E. Hart, and David G. Stork. Preliminary preprint version available from the University Copy Center 1620 W. Univ Av. Phone: 372-7436, open 24 hours.

Reference Books:

• Neural Networks for Pattern Recognition, Christopher M. Bishop, Oxford University Press, 1995.
• Introduction to Statistical Pattern Recognition by Keinosuke Fukunaga, Academic Press 1990.

Course Objectives: This class provides an introduction to classical pattern recognition. Pattern recognition is the assignment of a physical object or event to one of several prescribed categories. This semester will include sections on neural networks and provide links to the classical statistical pattern recognition techniques. Applications include automated speech recognition, fingerprint identification and optical character recognition. Major topics include:

• Bayesian decision theory.
• Parametric estimation and supervised learning.
• Linear discriminant functions.
• Nonparametric methods.
• Feature extraction for representation and classification.
• Neural networks for pattern recognition

Grade Determination:
25% Homework, 25% Exam I, 25% Exam II, 25% Final Project

Grade Determination:

• 25% Homework
• 25% Exam 1
• 25% Exam 2
• 25% Final Project

Exam Dates:

• Exam 1, Weds Sept. 30
• Exam 2, Mon Nov. 9