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37

Rémi Flamary


Journal articles12 documents

  • Devis Tuia, Rémi Flamary, Michel Barlaud. Non-convex regularization in remote sensing. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016. <hal-01335890>
  • Devis Tuia, Rémi Flamary, Nicolas Courty. Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2015, pp.1--14. <hal-01103078>
  • Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy. Mixed-norm Regularization for Brain Decoding. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2014, 2014, pp.ID 317056. <10.1155/2014/317056>. <hal-00708243v2>
  • Rémi Flamary, Claude Aime. Optimization of starshades: focal plane versus pupil plane. Astronomy and Astrophysics - A&A, EDP Sciences, 2014, pp.1-10. <hal-01045219>
  • Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary. Automatic Feature Learning for spatio-spectral image classification with sparse SVM. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (10), pp.6062-6074. <hal-00880980>
  • Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe. Non-convex Regularizations for Feature Selection in Ranking with Sparse SVM. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2014, vol. 25 (n° 6), pp. 1118-1130. <10.1109/TNNLS.2013.2286696>. <hal-01123818>
  • Alain Rakotomamonjy, Rémi Flamary, Florian Yger. Learning with infinitely many features. Machine Learning, Springer Verlag, 2013, 91 (1), pp.43-66. <hal-00880945>
  • Léa Laporte, Rémi Flamary, Stephane Canu, Sébastien Déjean, Josiane Mothe. Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2013, pp.1,1. <10.1109/TNNLS.2013.2286696>. <hal-00905550v2>
  • Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy. Large Margin Filtering. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2012, 60 (2), pp.648 - 659. <10.1109/TSP.2011.2173685>. <hal-00528917v2>
  • Rémi Flamary, Alain Rakotomamonjy. Decoding finger movements from ECoG signals using switching linear models. Frontiers in Neuroscience, Frontiers, 2012, 6 (29), <10.3389/fnins.2012.00029>. <hal-00671478>
  • Alain Rakotomamonjy, Rémi Flamary, Florian Yger. Learning with infinitely many features. Machine Learning, Springer Verlag, 2012. <hal-00735926>
  • Alain Rakotomamonjy, Remi Flamary, Gilles Gasso, Stéphane Canu. \ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,. IEEE Trans. on Neural Networks, 2011, 22 (8), pp.1307-1320. <hal-00509608>

Conference papers18 documents

  • Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso. Importance sampling strategy for non-convex randomized block-coordinate descent. IEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. 2015, <10.1109/CAMSAP.2015.7383796>. <hal-01336588>
  • Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty. Multitemporal classification without new labels: A solution with optimal transport. Multitemp, Jul 2015, Annecy, France. 2015, <10.1109/Multi-Temp.2015.7245773>. <hal-01254329>
  • Aurélie Boisbunon, Rémi Flamary, Alain Rakotomamonjy, Alain Giros, Josiane Zerubia. Large Scale Sparse Optimization for Object Detection in High Resolution Images. MLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France. 2014. <hal-01066235>
  • Aurélie Boisbunon, Rémi Flamary, Alain Rakotomamonjy. Active set strategy for high-dimensional non-convex sparse optimization problems. ICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy. 2014. <hal-01025585>
  • André Ferrari, David Mary, Rémi Flamary, Cédric Richard. Distributed image reconstruction for very large arrays in radio astronomy. Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th, Jun 2014, Coruna, Spain. 2014, <10.1109/SAM.2014.6882424>. <hal-01170722>
  • Nicolas Courty, Rémi Flamary, Alain Rakotomamonjy, Devis Tuia. Optimal transport for Domain adaptation. NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada. <hal-01103073>
  • Nicolas Courty, Rémi Flamary, Devis Tuia. Domain adaptation with regularized optimal transport. ECML/PKDD 2014, Sep 2014, Nancy, France. pp.1-16, 2014, LNCS. <hal-01018698>
  • Devis Tuia, Nicolas Courty, Rémi Flamary. A group-lasso active set strategy for multiclass hyperspectral image classification. Photogrammetric Computer Vision (PCV), Sep 2014, Zürich, Switzerland. pp.1--9, 2014. <hal-01063450>
  • Rémi Flamary, Nicolas Courty, Alain Rakotomamonjy, Devis Tuia. Optimal transport with Laplacian regularization. NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada. <hal-01103076>
  • Devis Tuia, Michele Volpi, Mauro Dalla Mura, Remi Flamary, Rakotomamonjy Alain. Discovering relevant spatial filterbanks for VHR image classification. 21st International Conference on Pattern Recognition (ICPR 2012), Nov 2012, Tsukuba, Japan. pp.3212-3215, 2012. <hal-00798589>
  • Rémi Flamary, Florian Yger, Alain Rakotomamonjy. Selecting from an infinite set of features in SVM. European Symposium on Artificial Neural Networks, Apr 2011, Bruges, Belgium. 2011. <hal-00626168>
  • Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu. Handling uncertainties in SVM classification. IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. 2011. <hal-00582789v2>
  • Rémi Flamary, Xavier Anguera, Nuria Oliver. Spoken WordCloud: Clustering Recurrent Patterns in Speech. International Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain. 2011. <hal-00582799>
  • Devis Tuia, Rémi Flamary, Gustavo Camps-Valls, Alain Rakotomamonjy. Learning spatial filters for multispectral image segmentation.. Machine Learning for Signal Processing, Aug 2010, Kittila, Finland. pp.1-6, 2010. <hal-00528923>
  • Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy. Large margin filtering for signal sequence labeling. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, Mar 2010, Dallas, United States. pp.1974 - 1977, 2010, <10.1109/ICASSP.2010.5495281>. <hal-00497300v2>
  • Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy. Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux. Conférence Francophone sur l'Apprentissage Automatique, May 2010, Clermont Ferrand, France. 12p., 2010. <hal-00497296>
  • Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso, Stephane Canu. Sélection de variables pour l'apprentissage simultanée de tâches. Confrénce D'Apprentissage (CAp), May 2009, Hammamet, France. pp.109-120, 2009. <hal-00452332>
  • Rémi Flamary, Stephane Canu, Alain Rakotomamonjy, Rose Jean-Loïc. Variational Sequence Labeling. http://mlsp2009.conwiz.dk/, Sep 2009, Grenoble, France. pp.1-6, 2009, <10.1109/MLSP.2009.5306238>. <hal-00493553>

Preprints, Working Papers, ...2 documents

  • Stephane Canu, Rémi Flamary, David Mary. Introduction to optimization with applications in astronomy and astrophysics. 2016. <hal-01346134>
  • Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy. Optimal Transport for Domain Adaptation. 2016. <hal-01170705v2>

Reports3 documents

  • Alain Rakotomamonjy, Remi Flamary, Gilles Gasso. DC Proximal Newton for Non-Convex Optimization Problems. [Research Report] Université de Rouen. 2015. <hal-00952445v3>
  • Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty. Generalized conditional gradient: analysis of convergence and applications. [Research Report] LITIS; Lagrange; IRISA. 2015. <hal-01217870>
  • Rémi Flamary, Alain Rakotomamonjy. Decoding finger movements from ECoG signals using switching linear models. 2009. <hal-00601154>

Theses1 document

  • Rémi Flamary. Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine. Machine Learning [stat.ML]. Université de Rouen, 2011. Français. <tel-00687501>

Lectures1 document