CSCE 970 (Spring 2003) Project Ideas
In this course you will do a substantial project. This project can be:
(1) a very extensive literature search and summary on a particular
topic, (2) a good implementation and evaluation of a known result in
pattern recognition, or (3) a small (but nontrivial) amount of original
research related to pattern recognition. You may work on these
projects individually or in small groups, though if you work in a group,
my expectations will be much higher when I grade your project.
You will summarize your project results in a written report and an oral
presentation. If your project involves an implementation, then you may
be asked to also give a brief demonstration. The written report must
use a professional writing style similar to that found in an ACM or IEEE
journal, including abstract, introduction, summary of related work, your
contribution, references, and an appendix (if necessary). The oral
presentation
will be to the entire class at the end of the semester: during dead
week (April 28-May 2), and if necessary, during the week prior to dead
week (April 21-25). You will submit your written report to
me no later than May 2 (the last day of dead week). In
accordance with UNL dead week policies, you have now been informed in
writing of the nature and scope of this project prior to the eighth week
of classes.
Suggestions for projects can be found below, but
you may propose your own topic as well. You must receive my
approval on your topic before proceeding with your work! To be a
valid topic, it must go beyond the scope of the course. So your
project could be on a topic we did not cover in class at all, or could
more deeply explore a topic we covered in class.
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Rules on projects, a.k.a. what to turn in for your final project writeup
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Tips on Presenting Technical Material
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Oral presentation schedule
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Sources of project ideas:
- If your thesis research or a project you are doing
for another course is appropriate for this course's project, I may allow you to
use it for this course. But you still need to submit a proposal.
- Check the projects done in the following previous offerings of CSCE 970
and CSCE 478/878 (Machine Learning). You may choose to expand on one of these
projects.
- Look at projects done at other machine learning courses. But
if you choose such a project, please do not contact the instructors or TAs of
these courses without talking to me first!
If you think one of these ideas is interesting, send me a proposal just like
you would with any other project idea. Then, if necessary, I will contact the
instructor of that course for more information.
- Look at the "Discussion" sections at the end of each chapter of
the textbook.
- Review papers from recent conference proceedings and journals.
(see my machine learning
hotlist for some links).
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Last modified 16 August 2011; please report problems to
sscott AT cse.