Christian JUTTEN
Professeur UGA
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : christian.jutten@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1127
Tél.33 (0)4 76 57 43 51
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

A second-order statistics method for blind source separation in post-nonlinear mixtures

Denis Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Romis Attux, Christian Jutten, et al.. A second-order statistics method for blind source separation in post-nonlinear mixtures. Signal Processing, Elsevier, 2019, 155 (February), pp.63-72. 〈https://www.sciencedirect.com/science/article/pii/S0165168418303153〉. 〈10.1016/j.sigpro.2018.09.031〉. 〈hal-01911799〉

Joint Independent Subspace Analysis: Uniqueness and Identifiability

Dana Lahat, Christian Jutten. Joint Independent Subspace Analysis: Uniqueness and Identifiability. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (3), pp.684-699. 〈https://ieeexplore.ieee.org/abstract/document/8531695〉. 〈10.1109/TSP.2018.2880714〉. 〈hal-01911746〉

Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces

Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo. Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018. 〈hal-01971856〉

L’héritage de Fourier, 250 ans après

Christian Jutten. L’héritage de Fourier, 250 ans après. Interstices, INRIA, 2018, 〈https://interstices.info/l-heritage-de-fourier/〉. 〈hal-02006613〉

A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition

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〉

Multivariate Time-Series Analysis Via Manifold Learning

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. Multivariate Time-Series Analysis Via Manifold Learning. IEEE Statistical Signal Processing Workshop (SSP 2018), Jun 2018, Fribourg-en-Brisgau, Germany. IEEE, 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018, 〈https://ssp2018.org/〉. 〈10.1109/SSP.2018.8450771〉. 〈hal-01868167〉

A Linear-Quadratic Model for the Quantification of a Mixture of Two Diluted Gases with a Single Metal Oxide Sensor

Stéphanie Madrolle, Pierre Grangeat, Christian Jutten. A Linear-Quadratic Model for the Quantification of a Mixture of Two Diluted Gases with a Single Metal Oxide Sensor. Sensors, MDPI, 2018, 18 (6), 〈10.3390/s18061785〉. 〈hal-01919632〉

Joint Independent Subspace Analysis by Coupled Block Decomposition: Non-Identifiable Cases

Dana Lahat, Christian Jutten. Joint Independent Subspace Analysis by Coupled Block Decomposition: Non-Identifiable Cases. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, AB, Canada. pp.2186-2190, 2018, 〈10.1109/ICASSP.2018.8461358〉. 〈hal-01884799〉

Sparse Signal Recovery Using Iterative Proximal Projection

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〉

Transfer learning: a Riemannian geometry framework with applications to Brain-Computer Interfaces

Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu. Transfer learning: a Riemannian geometry framework with applications to Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018, 65 (5), pp.1107-1116. 〈10.1109/TBME.2017.2742541〉. 〈hal-01923278〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal