PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

PASCAL Network

Full NameOlivier Chapelle
TitleResearch Scientist
SiteMax Planck Institut für Biologische Kybernetik
StatusTerminated
Tel+49 7071 601 570
Fax
WWWwww.kyb.tuebingen.mpg.de/~chapelle

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Machine Vision
Publications

Number of records: 26.

A Continuation Method for Semi-Supervised SVMs Olivier Chapelle, Mingmin Chi and Alexander Zien Conference or Workshop Item (2006)
A Machine Learning Approach to Conjoint Analysis Olivier Chapelle and Zaid Harchaoui Conference or Workshop Item (June 2004)
Active Learning for Parzen Window Classifier Olivier Chapelle Conference or Workshop Item (September 2004)
An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron Adam Kowalczyk and Olivier Chapelle Conference or Workshop Item (October 2005)
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models Sathiya Keerthi, Vikas Sindhwani and Olivier Chapelle Conference or Workshop Item (2007)
Approximation Methods for Gaussian Process Regression Joaquin Quinonero Candela, Carl Edward Rasmussen and Christopher Williams Book Section Item not available online. (09 November 2006)
Branch and Bound for Semi-Supervised Support Vector Machines Olivier Chapelle, Vikas Sindhwani and Sathiya Keerthi Conference or Workshop Item (2007)
Brisk Kernel ICA S Jegelka and Arthur Gretton Book Section Item not available online. (August 2006)
Combining a Filter Method with SVMs Thomas Navin Lal, Olivier Chapelle and Bernhard Schölkopf Book Section Item not available online. (October 2004)
Deterministic Annealing for Multiple-Instance Learning Peter Gehler and Olivier Chapelle Conference or Workshop Item (October 2006)
Deterministic Annealing for Semi-supervised Kernel Machines Vikas Sindhwani, Sathiya Keerthi and Olivier Chapelle Conference or Workshop Item (2006)
Embedded Methods Thomas Navin Lal, Olivier Chapelle, J. Weston and A Elisseeff Book Section Item not available online. (20 November 2004)
Entropy Regularization Yves Grandvalet and Yoshua Bengio Book Section Item not available online. (2005)
Estimating Predictive Variances with Kernel Ridge Regression gavin cawley, nicola talbot and Olivier Chapelle Book Section (November 2005)
Feature selection and transduction for prediction of molecular bioactivity for drug design Jason Weston, Fernando Perez-Cruz, Andre Elisseeff, Olivier Bousquet, Olivier Chapelle and Bernhard Schölkopf Article Item availablity restricted. (June 2003)
Graph Kernels by Spectral Transforms Xiaojin Zhu, Jaz Kandola, John Lafferty and Zoubin Ghahramani Book Section (2005)
Implicit Surface Modelling as an Eigenvalue Problem christian wadler, Olivier Chapelle and Bernhard Schölkopf Conference or Workshop Item (08 August 2005)
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Christian Walder, Bernhard Schölkopf and Olivier Chapelle Conference or Workshop Item (2007)
Large scale learning with string kernels Sören Sonnenburg, Gunnar Raetsch and Konrad Rieck Book Section (2007)
Object categorization with SVM: kernels for local features Jan Eichhorn and Olivier Chapelle Monograph (June 2004)
Object categorization with SVM: kernels for local features Jan Eichhorn and Olivier Chappelle Conference or Workshop Item (04 May 2004)
Semi-Supervised Classification by Low Density Separation Olivier Chapelle and Alexander Zien Conference or Workshop Item (September 2004)
Semi-Supervised Learning Book Item not available online. (September 2006)
The 2005 PASCAL Visual Object Classes Challenge Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang Book Section (2006)
Training Invariant Support Vector Machines using Selective Sampling Stéphane Canu, Leon Bottou and Stéphane Canu Book Section Item not available online. (2007)
Training Invariant Support Vector Machines using Selective Sampling Gaëlle Loosli, Leon Bottou and Stéphane Canu Book Section Item not available online. (2007)

This list was generated on Sun Mar 14 05:34:03 GMT 2010.