PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Gaëlle Loosli

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Number of EPrints submitted by this user: 20

Une boîte à outils rapide et simple pour les SVM
Gaëlle Loosli, Stéphane Canu, S V N Vishwanathan, Alex Smola and Manojit Chattopadhyay
Conférence d'Apprentissage pp. 113-128, 2004.

A fast and efficient toolbox for SVMs in Matlab
Gaëlle Loosli, Stéphane Canu, Alain Rakotomamonjy, Alex Smola and S V N Vishwanathan
In: NIPS'04, 13-18 Dec 2004, Vancouver, Canada.

Invariances in Classification : an efficient SVM implementation
Gaëlle Loosli, Stéphane Canu, S V N Vishwanathan and Alex Smola
In: ASMDA 2005, 17-20 May 2005, Brest, France.

Context Retrieval by Rupture Detection
Gaëlle Loosli, Sans-Goog Lee and Stéphane Canu
In: Conférence d'Aprrentissage 2005, 1 - 3 Jun 2005, Nice, France.

Context changes detection by one-class SVMs
Gaëlle Loosli, Sans-Goog Lee and Stéphane Canu
In: Workshop on Machine Learning for User Modeling: Challenges, 24 - 25 Jul 2005, Edimbourg, Scotland.

Perception d'états affectifs et apprentissage
Gaëlle Loosli, Sang-Goog Lee, Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu
RIA - Revue d'intelligence artificielle Volume 20, Number 4-5, pp. 553-582, 2006. ISSN 0992 499x

Rupture detection for context aware applications
Gaëlle Loosli, Sang-Goog Lee and Stéphane Canu
In: UBIcomp, 11 Sept 2005, Tokyo, Japan.

SVM et apprentissage des très grandes bases de données
Gaëlle Loosli, Stéphane Canu and Leon Bottou
In: Conférence sur l'apprentissage, 22-24 May 2006, Tregastel, France.

Auto-setting the SVM hyper-parameters using regularization paths
Gaëlle Loosli and Stéphane Canu
In: A Workshop for Women in Machine Learning, 04 october 2006, San Diego, USA.

Programmation quadratique et apprentissage. Grande taille et parcimonie
Stéphane Canu and Stéphane Canu
In: Optimisation en traitement du signal et de l'image (2007) Hermès , France , pp. 137-162.

Training Invariant Support Vector Machines using Selective Sampling
Stéphane Canu, Leon Bottou and Stéphane Canu
In: Large Scale Kernel Machines (2007) MIT Press .

LASVM Applied to Invariant Problems
Gaëlle Loosli
In: Large Scale Kernel Machines, 9 Dec 2005, Whistler, Canada.

Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets''
Gaelle Loosli and Stéphane Canu
JLMR Volume 9, 2007.

Training Invariant Support Vector Machines using Selective Sampling
Gaëlle Loosli, Leon Bottou and Stéphane Canu
In: large-scale kernel machines (2007) MIT , USA , pp. 301-320. ISBN 978 0 262 02625 3

Sample dispersion is better than sample discrepancy for classification
Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant
(2010) Technical Report. LIMOS.

Non positive SVM
Gaëlle Loosli and Stéphane Canu
(2010) Technical Report. LIMOS.

DISPERSION EFFECT ON GENERALIZATION ERROR IN CLASSIFICATION - Experimental Proof and Practical Algorithm
Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant
ICAART 2011.

How to generate the best samples for active learning in classification
Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant
In: Active Learning and Experimental Design, 15/05/2010, Sardinia, Italy.

Non positive SVM
Gaëlle Loosli and Stéphane Canu
In: Optimization in Machine Learning, 16 Dec 2011, Sierra Nevada, Spain.

Face Detection in a Pose Different than the One Learned
Pierre Bouges, Thierry Chateau, Christophe Blanc and Gaëlle Loosli
In: GRETSI 2011, 5-8 Sep 2011, Bordeaux, France.