| 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 |