ECE 8820 Pattern Recognition Fall 2008

 

Professor:

Dr. Skubic

Office:

221 EBW

Phone:

882-7766

e-mail:

SkubicM@missouri.edu

Web:

http://www.cs.missouri.edu/~skubicm/8820/

 

 

Time:

Tuesday / Thursday 2:00-3:15 p.m

Room:

EBW 355

Office Hours:

See web site

 

Text:

Pattern Recognition by Sergios Theodoridis and Konstantinos Koutroumbas, Academic Press, 2006, third edition

 

Pattern Classification by Richard Duda, Peter Hart, and David Stork, Wiley-Interscience, 2001, second edition

 

 

Prerequisites: Some exposure to probability and statistics is needed (for example, Stat 4710). Also, the ability to program (well) in some high level language is essential to complete the computer projects. The projects can be done using Matlab.

 

Exams: One midterm exam and a comprehensive final exam.

 

Homework: There will be written exercises and computer projects. No written assignments will be accepted late! Computer assignments will be accepted late, but with a penalty of 10% per day. Extra Credit will be given for turning in the assignments at least 24 hours early. The assignments are to be done individually, and all work presented for credit must be your own. You must acknowledge all written sources consulted (other than the text). Discussions with other students, the grader, the instructor, or anyone else must be acknowledged.

 

Course Grading:

 

Exams

60%

Homework and Computer Projects

40%

 

Topics:

The pattern recognition problem

Statistical pattern recognition

Training for statistical classifiers

Parameteric and non parametric classifiers

Linear discriminant functions

Feature selection

Linear transforms of features

Clustering algorithms

Cluster validity

 

Academic Dishonesty: According to University policy, instructors are required to inform students of specific guidelines regarding cheating in their courses. Instructors are required by University policy to report incidents of cheating to the Office of the Provost. In compliance with this rule, all incidents of cheating by students in this course will be reported to the Office of the Provost for determination of possible disciplinary action.

Any student found to have cheated during an exam will be given a 0 grade for that exam and the evidence will be sent to the Provost's Office. Students submitting the same or similar solutions to a programming homework will be given a 0 for the assignment and the evidence will be sent to the Provost's Office for determination of possible disciplinary action.

Homework is an important part of this course. The process of designing and implementing pattern recognition programs can only be learned by doing. It is important that you practice this process by yourself so that you build your skills during the course. Also, because all students will receive their own grade based upon their work, it is important that each student do his or her own work.

Duplicate homework written in collaboration with others is not acceptable. Although it is permissible to discuss the homework with others, these discussions should be of a general nature. All work at a detailed level must be done on your own. Students submitting the same or similar solutions to the homework will be considered as having cheated. No statements or actions made by anyone can alter this policy.

 

ADA Statement: If you need accommodations because of a disability, if you have emergency medical information to share with me, or if you need special arrangements in case the building must be evacuated, please inform me immediately. Please see me privately after class, or at my office.

To request academic accommodations (for example, a notetaker), students must also register with Disability Services, AO38 Brady Commons, 882-4696. It is the campus office responsible for reviewing documentation provided by students requesting academic accommodations, and for accommodations planning in cooperation with students and instructors, as needed and consistent with course requirements.