ECE 8820
Pattern Recognition Fall 2008
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Professor: |
Dr. Skubic |
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Office: |
221 EBW |
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Phone: |
882-7766 |
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e-mail: |
SkubicM@missouri.edu |
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Web: |
http://www.cs.missouri.edu/~skubicm/8820/ |
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Time: |
Tuesday /
Thursday 2:00-3:15 p.m |
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Room: |
EBW 355 |
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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:
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Exams |
60% |
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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.
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.