Laboratory for Applied Computing
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Laboratoy for Applied Computing
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- Issues in Evolving GP based Classifiers for a Pattern
Recognition Task, A Teredesai, (to appear) Congress for Evolutionary
Computation 04 (CEC 04), Portland, OR, June 2004.
- A Framework for Mining Instant Messaging Forests, A
Teredesai and J Resig, Workshop on Link Analysis, Counter-terrorism,
and Privacy at the Fourth SIAM International Conference on Data Mining
(SDM 2004), FL, April 2004.
- VENUS: A System for Novelty Detection in Video
Streams with Learning, Roger S. Gaborski, Ankur M. Teredesai, Vishal S.
Vaingankar, Vineet S. Chaoji, Aleksey Tentler, Proceedings of the 17th
International FLAIRS Conference, South Beach, FL, 2004. (accepted for
oral presentation)
- Cognitively Motivated Habituation for Novelty Detection in
Video, Vishal S. Vaingankar, Vineet S. Chaoji, Roger S. Gaborski, Ankur
M. Teredesai, Proceedings of the Seventeenth Annual Conference in
Neural Information Processing Systems (NIPS 03) Open Problems in
Cognitively Motivated Vision, December 2003, Whistler B.C., Canada.
- Detection of Inconsistent regions in video streams, Roger
S. Gaborski, Vishal S. Vaingankar, Ankur M. Teredesai, Vineet Chaoji,
SPIE Electronic Imaging: Human Vision and Electronic Imaging IX, San
Jose, California 2004(accepted for Oral Presentation).
- Event Detection in Video Sequences of Natural Scenes,
Tentler A, Vaingankar V.S, Gaborski R, Teredesai A, 2003 Western New
York Image Processing Workshop, Rochester, New York.
- Feature Extraction and Classification in Machine Printed
Korean OCR, David Hollinger, Peter Anderson, Roger Gaborski, Ankur
Teredesai, Western New York Image Processing Workshop, 2003.
- Birds of a Feather, Flock Together. Finding Common Nodes
in Decision trees for Auto-Indexing Webpages, A Teredesai, S Sharma and
V Chaoji, RIT-LAC Technical Report.