Workshop Schedule

Morning Session 7:30 - 11

7:30 - 7:45	Marina Meila & Andrew Moore	Introductory remarks
7:45 - 8:15	Andrew Moore	Ball-trees in discrete spaces
8:15 - 8:45	Thomas Hoffman	Dimension Reduction Techniques for Qualitative and Count Data
8:45 - 9:15	John Fisher	Information theoretic feature extraction
9:15 - 9:45	Bo Thiesson	Accelerating EM for large data bases and high dimensions
9:45 - 10:15	Yoshua Bengio	Learning the Joint Distribution of High-Dimensional Data with Neural Networks
10:15 - 10:45	Marina Meila	Fast algorithms for learning tree distributions
10:45 - 10:50		Wrap-up of the morning session

Afternoon Session 4:30 - 7

4:30 - 5:30	Piotr Indyk	Tutorial: Proximity problems in high dimensions
5:30 - 6:00		Discussion
6:00 - 6:20	Sayan Mukherjee	An Application of the Multivariate Kolmogorov-Smirnov Statistic
6:20 - 6:50	Alessandro Verri	SVM classification in high dimensional spaces for bioinformatics and computer vision applications
6:50 - 7:00		Final remarks