After arriving at USM (in 1997) I finally was able to find time to start looking
into a subject that I was interested in for a while; Neural Networks.
Since this is my beginning in this area I am interested
in gaining a general feeling for the field by studying the performance
characteristics of various NN architectures applied to the simplified
character recognition problem. I am particularly interested in
applying NNs directly (without pre-processing and/or feature
extraction). The results obtained then have been summarized in the following papers (please keep in mind the time frame of this work):
"Comparison of Performance of Ward Systems’ Neural Networks Applied to
a Multifont Recognition Problem," with R. Niess, L. Scardino and W. Douglas, in:
Proceedings of the 11th Annual CCSC South Central Conference, CCSC Press, 2000, 240-250
"Applying Probabilistic
Neural Networks to the Multifont Recognition Problem with Large
Training Set," with S. Bowers and A. Costeines, in: A.N. Kumar
et. al. (eds.), Proceedings of the Twelfth International Florida
AI Research Society Conference, AAAI Press, Menlo Park, CA,
1999, 336-339
"Evaluating the
Performance of Three Neural Network Architectures Applied to the
Pattern Recognition Problem," with S. Bowers, A. Costeines,
Proceedings of the 15th Annual Conference on Applied
Mathematics, University of Central Oklahoma, Edmond, OK, 1999,
29-36
S. Bowers, J. Morrison, M.
Paprzycki, Comparing
Performance of Neural Networks Recognizing Machine Generated
Characters. In: Proceedings
of the First Southern Symposium on Computing, Hattiesburg,
MS, December, 1998, CD, 12 pages
"Applying PNN's to
the Multifont Pattern Recognition Problem," submitted to:
Proceedings of the 7th Conference on Numerical Methods and
Applied Computer Science, Plovdiv, Bulgaria, August, 1998
Copies of the papers can be obtained by e-mailing me at marcin.paprzycki@ibspan.waw.pl