Publications



86 documents

  • Dana Lahat, Chrisitan Jutten. A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition. Deville Y., Gannot S., Mason R., Plumbley M., Ward D. Latent Variable Analysis and Signal Separation, Jul 2018, Guildford, United Kingdom. 10891, pp.171--180, 2018, Lecture Notes in Computer Science. 〈hal-01884793〉
  • Dana Lahat, Christian Jutten. Joint Independent Subspace Analysis by Coupled Block Decomposition: Non-Identifiable Cases. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, AB, Canada. pp.2186-2190, 2018, 〈10.1109/ICASSP.2018.8461358〉. 〈hal-01884799〉
  • Anne Guérin-Dugué, Raphaelle N. Roy, Emmanuelle Kristensen, Bertrand Rivet, Laurent Vercueil, et al.. Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials. Frontiers in Psychology, Frontiers, 2018, 9, 〈10.3389/fpsyg.2018.01190〉. 〈hal-01837209〉
  • Fateme Ghayem, Mostafa Sadeghi, Massoud Babaie-Zadeh, Saikat Chatterjee, Mikael Skoglund, et al.. Sparse Signal Recovery Using Iterative Proximal Projection. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (4), pp.879 - 894. 〈10.1109/TSP.2017.2778695〉. 〈hal-01707062〉
  • Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten. Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. ICASSP 2017 - Proceedings, pp.6190-6194, 2017, 〈http://www.ieee-icassp2017.org/〉. 〈10.1109/ICASSP.2017.7953346〉. 〈hal-01581521〉
  • Florent Bouchard, Pedro Rodrigues, Jérôme Malick, Marco Congedo. Réduction de dimension pour la Séparation Aveugle de Sources. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. 2017 - GRETSI - Actes de Colloque. 〈hal-01589766〉
  • Fateme Ghayem, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten. Accelerated Dictionary Learning for Sparse Signal Representation. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169 (10169), pp.531 - 541, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0_50〉. 〈hal-01479437〉
  • Alexandre Aksenov, Olivier Amblard, Olivier Michel, Christian Jutten. Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169 (10169), pp.509 - 518, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0 48〉. 〈hal-01479301〉
  • Denis Fantinato, Leonardo Duarte, Paolo Zanini, Bertrand Rivet, Romis Attux, et al.. A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169 (10169), pp.499 - 508, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0_47〉. 〈hal-01479431〉
  • Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten. Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169 (10169), pp.381 - 391, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0_36〉. 〈hal-01479420〉

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