Computer Science Department

Computer Science Colloquium

Statistical Learning: Overview and Applications

Tomaso Poggio
Center for Biological and Computational Learning, Artificial Intelligence Laboratory and McGovern Institute for Brain Research, M.I.T.

Friday November 1, 2002
11:30 a.m.
Room 1302 WWH
251 Mercer Street
New York, NY 10012-1185

Host: Davi Geiger,, 212-998-3235

Host: Demetri Terzopoulos,, 212-998-3477
Colloquium Information:


I will give a brief overview of our recent work on statistical learning theory, including results on the problem of classification and function approximation. I will describe applications in various domains -- such as visual recognition, computer graphics and bioinformatics.

Some relevant papers (the papers can be downloaded from

Evgeniou, T., M. Pontil and T. Poggio. Regularization Networks and Support Vector Machines, Advances in Computational Mathematics, 13, 1, 1-50, 2000.

Heisele, B., T. Serre, M. Pontil, T. Vetter and T. Poggio. Categorization by Learning and Combining Object Parts. In: Advances in Neural Information Processing Systems (NIPS'01), Vancouver, Canada, 2002, to appear.

Ezzat, T. Geiger D. and Poggio T. Trainable Videorealistic Speech Animation. SigGraph, 2002.

Pomeroy, S.L., P. Tamayo, M. Gaasenbeek, L.M. Sturia, M. Angelo, M.E. McLaughlin, J.Y.H. Kim, L.C. Goumnerova, P. M. Black, C. Lau, J.C. Allen, D. Zagzag, M.M. Olson, T. Curran, C. Wetmore, J.A. Biegel, T. Poggio, S. Mukherjee, R. Rifkin, A. Califano, G. Stolovitzky, D. N. Louis, J.P. Mesirov, E.S. Lander and T.R. Golub. Prediction of Central Nervous System Embryonal Tumour Outcome Based on Gene Expression, Nature, Vol. 415, 436-442, January 2002.