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Proceedings of conferences 2017

S. Clémençon and M. Achab, Continuous Ranking trough Oriented Recursive Partitions, NIPS, Longbeach, USA, December 2017.

S. Leglaive, R. Badeau and G. Richard, Separating Time-Frequency Sources from Time-Domain Convolutive Mixtures Using Non-negative Matrix Factorization, WASPAA, New Paltz, New York, USA, October 2017.

A. Belhomme, R. Badeau, Y. Grenier and E. Humbert, Amplitude and Phase Dereverberation of Harmonic Signals, WASPAA, New Paltz, New York, USA, October 2017.

P. Magron, R. Badeau and A. Liutkus, Lévy NMF for Robust Nonnegative Source Separation, WASPAA, New Paltz, New York, USA, October 2017.

M. Fontaine, A. Liutkus, L. Girin and R. Badeau, Explaining the Parameterized Wiener Filter with Alpha-Stable Processes, WASPAA, New Paltz, New York, USA, October 2017.

J.-M. Nicolas and R. Badeau, Histoire de la transformée de Mellin, GRETSI, Juan-Les-Pins, France, September 2017.

S. Leglaive, R. Badeau and G. Richard, Séparation de sources audio en milieu réverbérant : Factorisation en matrices non-négatives et représentation temporelle du mélange convolutif, GRETSI, Juan-Les-Pins, France, September 2017.

P. Magron, R. Badeau and A. Liutkus, Lévy NMF : un modèle robuste de séparation de sources non-négatives, GRETSI, Juan-Les-Pins, France, September 2017.

J.-M. Nicolas and R. Badeau, Histoire de la transformée de Mellin, GRETSI 2017, Juan Les Pins, September 2017.

J.-M. Nicolas, F. Tupin and H. Sportouche, Distances entre lois de probabilités définies sur R+, GRETSI 2017, Juan Les Pins, September 2017.

Q. Hoarau, A. Breloy, G. Ginholac, A. Atto and J.-M. Nicolas, Estimateur de Tyler régularisé dans le cas sous-déterminé. Application à la détection d'objets enfouis, GRETSI 2017, Juan Les Pins, September 2017.

G. Terrasse, J.-M. Nicolas and E. Trouvé, Méthode de séparation de sources appliquée aux données géoradar, GRETSI 2017, Juan Les Pins, September 2017.

T. Nabil, F. Roueff, J.-M. Jicquel and A. Girard, Identification of a thermal building model by learning the dynamics of the solar flux, Machine Learning for Signal Processing Workshop (MLSP), Tokyo, Japon, September 2017.

T. Nabil, E. Moulines, J.-M. Jicquel, A. Girard and Ch. Lajaunie, Méthode de Monte Carlo à dynamique hamiltonienne pour estimation d'un modèle thermique de bâtiment, XXVIe colloque GRETSI, Juan-les-Pins, France, September 2017.

Y. Bekhti, R. Badeau and A. Gramfort, Hyperparameter Estimation in Maximum a Posteriori Regression Using Group Sparsity with an Application to Brain Imaging, EUSIPCO, Kos, Greece, August 2017.

S. Leglaive, R. Badeau and G. Richard, Semi-Blind Student's t Source Separation for Multichannel Audio Convolutive Mixtures, EUSIPCO, Kos, Greece, August 2017.

M. Fontaine, Ch. Vanwynsberghe, A. Liutkus and R. Badeau, Scalable Source Localization with Multichannel Alpha-Stable Distributions, EUSIPCO, Kos, Greece, August 2017.

A. Belhomme, R. Badeau, Y. Grenier and E. Humbert, Amplitude and Phase Dereverberation of Monocomponent Signals, EUSIPCO, Kos, Greece, August 2017.

V. Barriere, Ch. Clavel and S. Essid, Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields, Interspeech 2017, Stockholm, Suede, August 2017.

C. Bergeron, N. Sidaty, W. Hamidouche, B. Boyadjis, J. Le Feuvre and Y. Lim, Real-Time Selective Encryption Solution based on ROI for MPEG-A Visual Identity Management AF , DSP, Londres, UK, August 2017.

F. Landragin, G. Dubuisson Duplessis and Ch. Clavel, Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction, 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Saarbrücken, Germany, August 2017.

S. Lobry, L. Denis, F. Tupin and R. Fjortoft, Double MRF for water classification in SAR images by joint detection and reflectivity estimation, IGARSS, Fort Worth, USA, July 2017, pp. 2283-2286 [PDF].

S. Lobry, F. Tupin and R. Fjortoft, Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection, IGARSS, Fort Worth, USA, July 2017, pp. 3720-3723 [PDF].

S. Clémençon, A. Gramfort, A. Sabourin and A. Thomas, Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method, AISTATS, Fort Lauderdale, USA, June 2017.

S. Clémençon, A. Korba and E. Sibony, A Learning Theory of Ranking Aggregation, AISTATS, Fort Lauderdale (USA), June 2017.

E. Potetsianakis, Streaming And Presentation Architectures For Extended Video Streams, TVX, June 2017 [PDF] [DOI 10.1145/3084289.3084298].

Th. Karagkioules, C. Concolato, D. Tsilimantos and S. Valentin, A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks, NOSSDAV'17, Taipei, Taiwan, June 2017 [PDF].

P. Riot, A. Almansa, Y. Gousseau and F. Tupin, A Correlation-based Dissimilarity Measure for Noisy Patches, SSVM 2017: International Conference on Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, June 2017, vol. 10302, pp. 184--195 [PDF] [hal-01492429] [DOI 10.1007/978-3-319-58771-4_15].

J.-C. Moissinac, Pour une fédération de dépôts locaux d’articles scientifiques sémantiquement reliés., ToTh, Chambéry, France, June 2017 [PDF] [hal-01546062].

M. Guyon, J.-C. Moissinac and S. Lemarchand, Choisir la diversité - Le cas du mastère CPD, QPES, Grenoble, France, June 2017 [PDF] [hal-01546066].

M. Massias, A. Gramfort and J. Salmon, Gap Safe screening rules for faster complex-valued multi-task group Lasso, SPARS, Lisbonne, June 2017 [PDF].

Ch.-A. Deledalle, N. Papadakis, J. Salmon and S. Vaiter, Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence, SPARS, Lisbonne, June 2017 [PDF].

S. Leglaive, R. Badeau and G. Richard, Multichannel audio source separation: variational inference of time-frequency sources from time-domain observations, 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 2017 [PDF] [hal-01416347].

P. Magron, R. Badeau and B. David, Phase-dependent anisotropic Gaussian model for audio source separation , 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 2017 [PDF] [hal-01416355].

U. Simsekli, A. Durmus, R. Badeau, G. Richard and E. Moulines, Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix Factorization, 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 2017 [PDF] [hal-01416357].

S. Leglaive, U. Simsekli, A. Liutkus, R. Badeau and G. Richard, Alpha-Stable Multichannel Audio Source Separation, 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 2017 [PDF] [hal-01416366].

C. Laroche, H. Papadopoulos, M. Kowalski and G. Richard, Drum extraction in single channel audio signals using Multi-Layer Non negative Matrix Factor Deconvolution, ICASSP, Nouvelle Orleans, USA, March 2017.

T. Dupré la Tour, Y. Grenier and A. Gramfort, Parametric estimation of spectrum driven by an exogenous signal, ICASSP, New Orleans, March 2017 [PDF] [hal-01448603].

I. Bloch, Morphological links between formal concepts and hypergraphs, International Symposium on Mathematical Morphology (ISMM 2017), Fontainebleau, France, March 2017, vol. LNCS 10225, pp. 16-27.

L. Girin and R. Badeau, On the Use of Latent Mixing Filters in Audio Source Separation, 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Grenoble, France, February 2017, vol. LNCS 10169, pp. 225--235 [PDF].

M. Fontaine, Ch. Vanwynsberghe, A. Liutkus and R. Badeau, Sketching for nearfield acoustic imaging of heavy-tailed sources, 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Grenoble, France, February 2017, vol. LNCS 10169, pp. 80--88 [PDF].

J. Montoya, J.-F. Cardoso and A. Gramfort, Caveats with stochastic gradient and maximum likelihood based ICA for EEG, LVA/ICA, Grenoble, February 2017.

H. Urien, I. Buvat, N. F. Rougon, M. Soussan and I. Bloch, Détection et segmentation de tumeurs cérébrales en imagerie hybride TEP-IRM, Recherche en Imagerie et Technologies pour la Santé (RITS), Lyon, France, 2017, pp. 50.

H. Bertrand, M. Perrot, R. Ardon and I. Bloch, Classification of MRI data using deep learning and Gaussian process-based model selection, IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017, pp. 745-748.

A. Virzi, J.-B. Marret, C. Muller, L. Berteloot, N. Boddaert, S. Sarnacki and I. Bloch, A new method based on template registration and deformable models for pelvic bones semi-automatic segmentation in pediatric MRI, IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017, pp. 323-326.

T. Evain, X. Ripoche, J. Atif and I. Bloch, Semi-automatic teeth segmentation in cone-beam computed tomography by graph-cut with statistical shape prior, IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017, pp. 1197-1200.

I. Bloch, Topological relations between bipolar fuzzy sets based on mathematical morphology, International Symposium on Mathematical Morphology (ISMM 2017), Fontainebleau, France, 2017, vol. LNCS 10225, pp. 40-51.

H. Urien, I. Buvat, N. F. Rougon, M. Soussan and I. Bloch, Brain lesion detection in 3D PET images using max-trees and a new spatial context criterion, International Symposium on Mathematical Morphology (ISMM 2017), Fontainebleau, France, 2017, vol. LNCS 10225, pp. 455-466.

A. Reshef, C. Riddell, Y. Tousset, S. Ladjal and I. Bloch, Reconstruction tomographique 2D : une nouvelle méthode de rétro-projection filtrée, GRETSI, Juan-les-Pins, France, 2017.

Y. Xu, Th. GÉraud and I. Bloch, Segmentation d’IRM de cerveaux de nouveau-nés en quelques secondes à l’aide d’un réseau de neurones convolutif pseudo-3D et de transfert d’apprentissage, GRETSI, Juan-les-Pins, France, 2017.

Y. Xu, Th. GÉraud and I. Bloch, From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning, ICIP, China, 2017.

H. Bertrand, R. Ardon, M. Perrot and I. Bloch, Hyperparameter optimization of deep neural networks: combining Hperband with Bayesian model selection, CAp, France, 2017.

C. Muller, A. Virzi, J.-B. Marret, E. Mille, L. Berteloot, D. Grevent, Th. Blanc, N. Garcelon, I. Buffet, E. Hullier-Ammard, P. Gori, N. Boddaert, I. Bloch and S. Sarnacki, Towards building 3D individual models from MRI segmentation and tractography to enhance surgical planning for pediatric pelvic tumors and malformations, Surgetica 2017, Strasbourg, France, 2017.

Y. Xu, Th. GÉraud, E. Puybareau and I. Bloch, Brain MRI Segmentation using Fully Convolutional Network and Transfer Learning, BrainLes MICCAI Workshop, Québec, Canada, 2017.

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