UT Arlington

UT Arlington

Department of Electrical Engineering

 

 

EE 5357: Statistical Pattern Recognition

(course info)

IMPORTANT ANNOUNCEMENTS

 

TA INFORMATION

 

Email guidelines:

1. All emails should carry the subject line in the format "EE5357: <your subject>" (Ex: EE5357: Exam grade)

2. If you are submitting any assignment via email, be sure it is named in the following format - "Lastname_Firstname-Assignment#.<file extension>" (Ex: Malalur_Sanjeev-Program2.zip)

 
GRADING KEY

70 %: Tests (1,2,3,Final)

10%: Homeworks

20%: Program Assignments

Finals (optional) will replace your lowest score and will count as 2 quizzes.

Off-Campus Students (Internet):

Fax completed assignments to Donya Randolph at 817-272-5630

 
TEXT AND REFERENCE BOOKS INFORMATION
 
See 'course info' link at the top of this page for more information.

 

HOMEWORK ASSIGNMENTS

Homework 1
Homework 2
Homework 3

 

HOMEWORK SOLUTIONS

PROGRAM ASSIGNMENTS

Program 1
Program 2
Program 3
Program 4

 

CLASS NOTES AND HANDOUTS

Review of Linear Algebra
Lecture Notes 1  
Lecture Notes 2  
Lecture Notes 3  

OTHER HELPFUL MATERIALS

Old Exams:

Exam 1: Summer 2007; Summer 2008
Exam 2: Summer 2007; Summer 2008
Exam 3: Summer 2007; Summer 2008

 

Reference Material

P. L. Narasimha, W. H. Delashmit, M. T. Manry, J. Li, F. Maldonado, "An integrated growing-pruning method for feedforward network training," Neurocomputing vol. 71, pp. 2831–2847, 2008.

P. L. Narasimha, S. Malalur, M. T. Manry, "Small Models of Large Machines," Proceedings of the Twenty-First International FLAIRS Conference, pp. 83-88, 2008.

"Transform-based Shape Recognition Using Neural Networks", Ph.D. Dissertation of H. C. Yau, UTA, December 1990.

"Classification of Invariant Image Representations Using Neural Networks", A. Khotanzad and Jiin-her Lu, IEEE Trans. on ASSP Vol. 38 No. 6, June 1990

"Comparative Study of Optical-digital vs All-digital Techniques in Textural Pattern Recognition", R. K. O'Toole and H. Stark, Applied Optics, Vol. 19 No. 15, 1 August 1980.

 

Zip code data

Matlab Code to read the zip code images
C Code to read the zip code images
Zip code images 

 

© 2009 The University of Texas at Arlington

© 2009 Image Processing and Neural Networks Lab