I am working in the PDDP (Principal Direction Divisive Partition) group
and my advisor is Professor Boley. My primary research interests are:
A: Improving the learning process of available
supervised learning algorithms using unsupervised ones. We have successfully
applied this general idea in speeding up the training process of support vector
machines using PDDP.
·
Training Support Vector Machine using
Adaptive Clustering, 2004
B: Applying kernel methods to computer vision
problems, for example, human gait recognitions.
·
Online Motion Classification using Support
Vector Machine, IEEE 2004
International Conference on Robotics and Automation, April 26 - May 1, New
Orleans, LA, USA. Here is the abstract and the full paper (ps, pdf). (Authors: D.
Cao, O. Masoud, D. Boley, N. Papanikolopoulos)
![]()
Mail address:
4-192,
Last updated:
The views and opinions expressed in this page are strictly those of the page author.
The contents of this page have not been reviewed or approved by the University of Minnesota.