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Florian Yger

Email : florian.yger@dauphine.fr

Tel : 01 44 05 49 73
Bureau : P405Ter
Site Personnel: http://www.yger.fr
Pole : Science des données
Status : Maitre de conférence

Encadrement de these de doctorat :


  • Celine Beji : Passage à l'échelle des méthodes de transport optimal en apprentissage automatique ( Début : 2017-02-01)
voir toutes les theses

Publications Dblp


  • Inbal Horev, Florian Yger, Masashi Sugiyama
    Geometry-aware principal component analysis for symmetric positive definite matrices.Machine Learning106(4) 2017:493-522

  • Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
    Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.CoRRabs/1709.01584 2017:

  • Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama
    Multitask Principal Component Analysis.ACML 2016:302-317

  • Inbal Horev, Florian Yger, Masashi Sugiyama
    Geometry-aware stationary subspace analysis.ACML 2016:430-444

  • Inbal Horev, Florian Yger, Masashi Sugiyama
    Geometry-aware stationary subspace analysis.CoRRabs/1605.07785 2016:

  • Alessandro Balzi, Florian Yger, Masashi Sugiyama
    Importance-weighted covariance estimation for robust common spatial pattern.Pattern Recognition Letters68 2015:139-145

  • Inbal Horev, Florian Yger, Masashi Sugiyama
    Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices.ACML 2015:1-16

  • Florian Yger, Fabien Lotte, Masashi Sugiyama
    Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study.EUSIPCO 2015:2721-2725

  • Florian Yger, Masashi Sugiyama
    Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices.CoRRabs/1502.03505 2015:

  • Florian Yger
    Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals.CoRRabs/1410.2663 2014:

  • Alain Rakotomamonjy, Rémi Flamary, Florian Yger
    Learning with infinitely many features.Machine Learning91(1) 2013:43-66

  • Florian Yger
    A review of kernels on covariance matrices for BCI applications.MLSP 2013:1-6

  • Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
    Oblique principal subspace tracking on manifold.ICASSP 2012:2429-2432

  • Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
    Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.ICML 2012:

  • Florian Yger, Alain Rakotomamonjy
    Wavelet kernel learning.Pattern Recognition44(10-11) 2011:2614-2629

  • Florian Yger, Alain Rakotomamonjy
    Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures.Revue d'Intelligence Artificielle25(3) 2011:369-392

  • Rémi Flamary, Florian Yger, Alain Rakotomamonjy
    Selecting from an infinite set of features in SVM.ESANN 2011:

  • Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
    A supervised strategy for deep kernel machine.ESANN 2011:

  • Florian Yger, Alain Rakotomamonjy
    Large marginwavelet-based dictionary for signal classification.ICASSP 2010:2182-2185



Publications DFIS


Publications HAL