1999 Syposium for Applied Computing (ACM SAC'99)
Tutorial
Intelligent Pattern Recognition and Applications
Prof. Patrick Wang, IAPR Fellow,
Northeastern University, Boston,MA USA
9:00AM - Noon
Abstract
How do people learn and recognize things? These amazing capabilities have
been taken for granted for years. However, when one tries to use computers
or machines to recognize handwritten characters or faces, it becomes clear
that such seemingly trvial tasks by humans turns out to be extremely
difficult, if not impossible, by mechanical means such as computers. In a
way, the study of pattern recognition and artificial intelligence attempt
to simulate the mechanisms of the humban brain. This tutorial will present
some inside views of pattern recognition techniques using artificial
intelligence (AI) and neural network (NN) methodologies. Some of the
topics include learning and inferencing, supervised and non-supervised
learning, the four main approaches to pattern recognition, and knowledge
representation and semantic networks. The tutorial will present the
application of these methodologies to several important problems including
optical character recognition (OCR), zip-code recognition, bank check
recognition, industrial parts inspection, scene analysis and image
understanding, computer vision, and learning.
The Presenter
Dr. Patrick S. Wang is an IAPR Fellow, professor of computer science at
Northeastern University, MIT research consultant, and adjunct faculty of
computer science at Harvard University Extension School. He received his
Ph.D. from Oregon State University, M.S. from Georgia Tech, M.S.E.E. from
National Taiwan University and a B.S. from National Chiao Tung
University. Dr. Wang was elected Otto-Von-Guericke Distinguished Guest
Professor of Magdeburg University near Berlin, Germany, Fall
1996. Prof. Wang has published over 120 technical papers and 17 books in
Pattern Recognition, A.I. and Imaging Technologies and has three OCR
patents by US and Europe Patent Bureaus. He is currently founding
Editor-in-Charge of Int. J. of Pattern Recognition and A.I., and
Editor-in-Chief of Machine Perception & Artificial Intelligence by World
Scientific Publishing Co..