Professor Harry Wechsler

Department of Computer Science

George Mason University

Fairfax, VA 22030

e-mail : wechsler@cs.gmu.edu

web: http://cs.gmu.edu/~wechsler/

           (703) 993-1533 (office)

(703) 993-1530 (sec)

(703)993-1710 (fax)

 

GEORGE MASON UNIVERSITY

         Fall   '2008

 

CS 688 --- PATTERN   RECOGNITION

Prerequisites: CS580 or equivalent

001  74723   T   7:20 –  10:00 p.m.   IN    222

 

Office Hours

T   6:15 p.m. - 7:00 p.m. or by appointment (SITE II - Rm. 461)

         

Textbook

          C. M. Bishop, Pattern Recognition and Machine Learning,

Springer, 2006.

 

Course Description

Explores statistical pattern recognition and neural networks. Pattern recognition topics include Bayesian   classification and decision theory,  density (parametric and non – parametric) estimation, linear and non – linear  discriminant analysis, dimensionality reduction, feature extraction and selection, mixture models and expectation – maximization (EM), and vector quantization  and clustering. Neural networks topics include feed-forward networks and back-propagation, self-organization feature maps, and   radial basis functions. Course emphasizes experimental design, applications, and performance evaluation.

Schedule

          1st day of classes: August 26, 2008

         Columbus Day recess: October 14, 2008

         Last Day of Classes: December 2, 2008

Grading

1. Homework Assignments: 20 %

2. Midterm: 20% --- October 21, 2008

3. FINAL: 40% -- December 9, 2008

4. TERM (“Team”) PROJECT:  Project (20%).

Follow-Up

1.    CS 750 – Data Mining – Spring 2009

2.    CS667/ 778 Biometrics – 2009/2010

3.    CS 775 – Advanced Pattern Recognition – 2009/2010

4.    (CS or IT) PhD

5.    Certificate in Biometrics

Honor Code

Please review George Mason University commitment to the Honor Code http://mason.gmu.edu/~montecin/plagiarism.htm. See also http://honorcode.gmu.edu/ and http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/HomePage

for more information on the Honor Code.