Tutorials Program
The
Tutorials provides a choice of six two-hour tutorials by leading scientists.
The topics span a wide range of subjects including neuroscience, learning
algorithms and theory, bioinformatics, image processing, and data mining.
Tutorials – Monday, December 8, 2003
Session I: 9:30-11:30 am
Klaus-Robert Mueller, University
of Potsdam Computer Science and
Fraunhofer
FIRST
Towards Brain Computer
Interfacing
Stephen Boyd, Department of Electrical
Engineering, Stanford University
Convex Optimization and
Applications
Session 2:
1:00-3:00 pm
Zach Mainen, Cold Spring Harbor Laboratory
Neural Coding and the
Olfactory System
David Lowe, Computer Science Department,
University of British Columbia
Real-time Object Recognition
using Invariant Local Image Features
Session 3:
3:30-5:30 pm
Daniel D. Lee, Department. of Electrical
Engineering and Bioengineering,
University
of Pennsylvania
Learning in Sensorimotor
Systems
David Karger, Laboratory for Computer
Science, EECS, MIT
Algorithmic Tools Applied to
Learning and Inference Problems