PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

PASCAL Network

Full NameJoaquin Quinonero Candela
TitleResearch Scientist
SiteMax Planck Institut für Biologische Kybernetik
StatusTerminated
Tel+49 30 6392 1872
Fax+49 30 6392 1879
WWWwww.kyb.tuebingen.mpg.de/~jqc

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

Number of records: 15.

A Lexical Alignment Model for Probabilistic Textual Entailment Ido Dagan, Oren Glickman and Moshe Koppel Book Section Item availablity restricted. (July 2006)
A pragmatic Bayesian approach to predictive uncertainty Iain Murray and Ed Snelson Book Section Item not available online. (2006)
A Unifying View of Sparse Approximate Gaussian Process Regression Joaquin Quinonero Candela and Carl Edward Rasmussen Article Item not available online. (December 2005)
Analysis of Some Methods for Reduced Rank Gaussian Process Regression Joaquin Quinonero Candela and Carl Edward Rasmussen Book Section (15 April 2004)
Approximation Methods for Gaussian Process Regression Joaquin Quinonero Candela, Carl Edward Rasmussen and Christopher Williams Book Section Item not available online. (09 November 2006)
Estimating Predictive Variances with Kernel Ridge Regression gavin cawley, nicola talbot and Olivier Chapelle Book Section (November 2005)
Evaluating Predictive Uncertainty, Visual Objects Classification and Recognising textual entailment : selected proceedings of the First PASCAL Machine Learning Challenges Workshop. Book Item not available online. (26 April 2006)
Healing the Relevance Vector Machine through Augmentation Carl Edward Rasmussen and Joaquin Quinonero Candela Conference or Workshop Item (2005)
Large Margin Non-Linear Embedding Alexander Zien and Joaquin Quinonero Candela Conference or Workshop Item (01 June 2005)
Learning Depth From Stereo. Pattern Recognition Fabian Sinz, Joaquin Quinonero Candela, Goekhan Hasan Bakir, Carl Edward Rasmussen and Matthias Franz Conference or Workshop Item (April 2004)
Learning with Uncertainty - Gaussian Processes and Relevance Vector Machines Joaquin Quinonero Candela Thesis (01 October 2004)
Local distance preservation in the GP-LVM through back constraints Neil Lawrence and Joaquin Quinonero Candela Conference or Workshop Item (June 2006)
Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment Book Item not available online. (July 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)
The PASCAL Recognising Textual Entailment Challenge Ido Dagan, Oren Glickman and Bernardo Magnini Book Section Item availablity restricted. (July 2006)

This list was generated on Thu Sep 2 15:31:12 BST 2010.