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Rupture detection for context aware applications
Gaëlle Loosli, Sang-Goog Lee and Stéphane Canu
Conference or Workshop Item
Item not available online.
(August 2005)
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Translation invariant classification of non-stationary signals
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Conference or Workshop Item
(27 April 2005)
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Translation invariant classification of non-stationary signals
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Article
(2006)
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A fast and efficient toolbox for SVMs in Matlab
Gaëlle Loosli, Stéphane Canu, Alain Rakotomamonjy, Alex Smola and S V N Vishwanathan
Conference or Workshop Item
Item not available online.
(June 2004)
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A Multi-kernel Framework for Inductive Semi-supervised Learning
Xilan Tian, Gilles Gasso and Stéphane Canu
Conference or Workshop Item
(April 2011)
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Apprentissage semi supervisé via un SVM parcimonieux : calcul du chemin de régularisation
Gilles Gasso, Karina Zapien and Stéphane Canu
Article
Item availablity restricted.
(2008)
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Auto-setting the SVM hyper-parameters using regularization paths
Gaëlle Loosli and Stéphane Canu
Conference or Workshop Item
Item not available online.
(October 2006)
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Classification invariante en translation de signaux non stationnaires
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Conference or Workshop Item
(06 September 2005)
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Context changes detection by one-class SVMs
Gaëlle Loosli, Sans-Goog Lee and Stéphane Canu
Conference or Workshop Item
(2005)
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Context Retrieval by Rupture Detection
Gaëlle Loosli, Sans-Goog Lee and Stéphane Canu
Conference or Workshop Item
(2005)
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Estimation de la concentration d'un agent biologique par détection de rupture sur vidéos de fluorescences issues de PCR
Abou Keita, Romain Hérault and Stéphane Canu
Conference or Workshop Item
Item not available online.
(24 January 2012)
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Estimation de signaux par noyaux d'ondelettes
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Article
(2006)
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Estimation de signaux par noyaux d’ondelettes
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Conference or Workshop Item
(09 September 2005)
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Frames, Reproducing Kernels, Regularization and Learning
Alain Rakotomamonjy and Stéphane Canu
Article
(September 2005)
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Heteroscedastic Gaussian Process Regression
quoc le, Alex Smola and Stéphane Canu
Conference or Workshop Item
Item not available online.
(03 March 2005)
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Heteroscedastic gaussian process regression
quoc le, Alex Smola and Stéphane Canu
Conference or Workshop Item
(2005)
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Invariances in Classification : an efficient SVM implementation
Gaëlle Loosli, Stéphane Canu, S V N Vishwanathan and Alex Smola
Conference or Workshop Item
(2005)
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Kernel Basis Pursuit
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Conference or Workshop Item
(04 October 2005)
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Kernel Basis Pursuit
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Article
(2006)
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Kernel methods and the exponential family
Stéphane Canu and Alex Smola
Article
(01 September 2005)
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Kernel methods and the exponential family
Stéphane Canu and Alex Smola
Article
(2006)
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L1-Norm Regularization Path for Sparse Semi-Supervised Laplacian SVM
Gilles Gasso, Karina Zapien and Stéphane Canu
Article
Item not available online.
(2007)
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Learning with Non-Positive Kernels
C.S. Ong, X. Mary, S. Canu and A. Smola
Conference or Workshop Item
(July 2004)
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Learning with Non-Positive Kernels
Cheng Soon Ong, Xavier Mary, Stéphane Canu and Alex Smola
Conference or Workshop Item
(2004)
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More Efficiency in Multiple Kernel Learning
Alain Rakotomamonjy, Francis Bach, Yves Grandvalet and Stéphane Canu
Conference or Workshop Item
Item not available online.
(2007)
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More efficiency in multiple kernel learning
Alain Rakotomamonjy, Stéphane Canu and Yves Grandvalet
Monograph
Item availablity restricted.
(15 June 2006)
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Non positive SVM
Gaëlle Loosli and Stéphane Canu
Monograph
(October 2010)
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Non positive SVM
Gaëlle Loosli and Stéphane Canu
Conference or Workshop Item
(December 2011)
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Nonlinear functional regression: a functional RKHS approach
hachem kadri, emmanuel duflos, Philippe Preux, Stéphane Canu and manuel davy
Conference or Workshop Item
Item not available online.
(May 2010)
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Perception d'états affectifs et apprentissage
Gaëlle Loosli, Sang-Goog Lee, Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
Article
(2006)
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Programmation quadratique et apprentissage. Grande taille et parcimonie
Stéphane Canu and Stéphane Canu
Book Section
Item not available online.
(2007)
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Recovering sparse signals with a certain family of non-convex penalties and DC programming
Gilles Gasso, Alain Rakotomamonjy and Stéphane Canu
Article
(December 2009)
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SimpleMKL
Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet
Article
(December 2008)
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Splines with non positive kernels
Stéphane Canu, Cheng Soon Ong and Xavier Mary
Book Section
(01 October 2005)
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SVM et apprentissage des très grandes bases de données
Gaëlle Loosli, Stéphane Canu and Leon Bottou
Conference or Workshop Item
(2006)
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SVM Multi-Task Learning and Non convex Sparsity Measure
Remi Flamary, Alain Rakotomamonjy, Gilles Gasso and Stéphane Canu
Conference or Workshop Item
Item not available online.
(April 2009)
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Training Invariant Support Vector Machines using Selective Sampling
Stéphane Canu, Leon Bottou and Stéphane Canu
Book Section
Item not available online.
(2007)
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Training Invariant Support Vector Machines using Selective Sampling
Gaëlle Loosli, Leon Bottou and Stéphane Canu
Book Section
Item not available online.
(2007)
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Une boîte à outils rapide et simple pour les SVM
Gaëlle Loosli, Stéphane Canu, S V N Vishwanathan, Alex Smola and Manojit Chattopadhyay
Article
(June 2004)
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Variational Sequence Labeling
Remi Flamary, Jean-Loic Rose, Alain Rakotomamonjy and Stéphane Canu
Conference or Workshop Item
Item not available online.
(2009)
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