Learning@Snowbird 2002, April 2-5 2002

Poster Sessions

Poster Session A: Wednesday April 3rd, 7:00-9:30 PM
Francis R. Bach and Michael I. Jordan (UC Berkeley)
Kernel Independent Component Analysis
Ron Papka (BlackRock)
A Text Classification Approach to Stock Price Prediction
Paul Viola, Gregory Shakhnarovich, Baback Moghaddam (Mistubishi Electric Research Lab )
A Unified Learning Framework for Real-time Face Detection, Classification, and Feature Detection
David M. Blei, J. Andrew Bagnell, Andrew McCallum(UC Berkeley, CMU, WhizBang Labs)
An Integrated Model of Local and Global Learning with Application to Information Extraction
Nicol N. Schraudolph, Thore Graepel (ETH Zurizh)
Quicksilver: Riding the Edge of Instability
Hugo Zaragoza, Ralf Herbrich(Microsoft Research Cambridge )
Model Selection of Linear Classifiers for Text Categorisation
Asela Gunawardana (Microsoft Research )
On the Information Geometry and the Convergence of Variational EM Algorithms
Barak A. Pearlmutter (University of New Mexico )
Algorithmic Differentiation, Functional Programming, and Iterate -to -Fixedpoint
Shiro Ikeda, Toshiyuki Tanaka, and Shun-ichi Amari (JST & Kyutech, Tokyo Metro. Univ, RIKEN)
Information geometry of belief propagation in general belief networks
Samy Bengio(IDIAP)
A Multimodal System for Identity Verification
Brigitte Quenet, David Horn, Remi Dubois, Sevan Sirapian, Gerard Dreyfus (ESPCI)
Dynamic Neural Filter of Hodgkin-Huxley Units
Harri Valpola, Tapani Raiko, and Juha Karhunen (Helsinki University of Technology)
Constructing Graphical Models for Bayesian Ensemble Learning from Simple Building Blocks
Haym Hirsh, Sofus A. Macskassy (Rutgers University )
Learning to Predict important News Stories
Mark J. Embrechts and Kristin Bennett(Rensselaer Polytechnic Institute )
Sparse-Kernel PLS for Molecular Drug Design
Lev Goldfarb and Oleg Golubitsky (University of New Brunswick)
Fundamental Inadequacies of the Traditional Machine Learning Representations and a New Formalism
Svetlana Lazebnik, Amir Sethi, Cordelia Schmid(UIUC, INRIA)
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
Tanzeem Choudhury, Brian Clarkson, Sumit Basu, and Alex Pentland (MIT Media Lab)
Learning Human Dynamics and Group Interactions
Nuria Oliver, Ashutosh Garg (Microsoft Research, UIUC)
MMIHMM: Maximum Mutual Information Hidden Markov Models
Hagai Attias and Matthew J. Beal (Microsoft Research USA )
Learning Intractable Latent Trees

Poster Session B: THURSDAY April 4rd, 7:00-9:30 PM
Ion Muslea, Steven Minton, Craig Knoblock (ISI/USC, Fetch Inc., ISI/USC)
Adaptive View Validation: A First Step Towards Automatic View Detection
Fernando Pineda, Miquel Antoine, Plamen Demirev, Andrew Feldman, Catherine Fenselau, Joany Jackman, Jeffrey Lin(Johns Hopkins, Bloomberg School of Public Health)
Knowledge-based Rapid Microorganism Identification
Jorg Kindermann, Edda Leopold, Gerhard Paag (Fraunhofer Institute)
Classification of spoken documents using subword units and weighted string kernels
J. Michael Herrmann, Ralf Der, and Theo Geisel(MPI fur Sturmungsforschung, U. Leipzig)
Autonomous Learning in Mobile Robots: The Homeokinesis Approach
Yuri A. Ivanov (Honda FRL, MIT CBCL )
On-Line Learning with Reduction Rules
Dean Foster and Lyle Ungar (University of Pennsylvania )
A Proposal for Learning by Ontological Leaps
Matej Oresic, Tom Plasterer, and Eric Neumann (Beyond Genomics, Inc. )
BioSystematic Analysis of a Complex Disease Model
Deb Roy (MIT Media Laboratory )
Acquisition of Grounded Spoken Language for Robot Communication
Ronan Collobert, Yoshua Bengio (Universite de Montreal)
Magic Mix
Patrice Y. Simard, David Steinkraus, and Henrique Malvar (Microsoft Research )
On-line and Off-line Learning in Image Compression
Christopher J.C. Burges, Patrice Y. Simard and Henrique S. Malvar (Microsoft Research)
Improving Wavelet Image Compression with Neural Networks
Sumit Basu and Alex Pentland (MIT Media Laboratory )
Conversational Scene Analysis
John Lafferty and Guy Lebanon (Carnegie Mellon University )
Combining Rankers Using Models on Permutations
Arthur Fridman (Merck Research Laboratories )
Topology-corrected belief revision in the Ising model
Hagai Attias (Microsoft Research)
Multi-Object Scene Understanding Algorithms for a Mobile Sensing Platform
Tony Jebara (Columbia University)
Multi-Task SVM Feature Selection
Bernd Heisele, Thomas Serre, Tomaso Poggio(CBCL/MIT, Honda R&D Americas)
Object Categorization with Learned Components
Vladimir Pavlovic(Boston University)
Boosting Distributions