Christian JUTTEN
Professeur Université Grenoble Alpes
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

Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements

S. Akhavan, Ronald Phlypo, M. Kamarei, H. Soltanian-Zadeh, Christian Jutten. Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements. Signal Processing, Elsevier, 2020, 166, pp.107235. ⟨ 10.1016/j.sigpro.2019.07.028 ⟩. ⟨ hal-02267179 ⟩

A dictionary learning approach for spatio-temporal characterization of absence seizures

Saeed Akhavan, Ronald Phlypo, M Kamarei, Christian Jutten, Hamid Soltanian-Zadeh. A dictionary learning approach for spatio-temporal characterization of absence seizures. Physiological Measurement, IOP Publishing, 2019, 40 (10), pp.105008. ⟨ 10.1088/1361-6579/ab4962 ⟩. ⟨ hal-02367970 ⟩

When does it work?": An exploratory analysis of transfer learning for BCI

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. "When does it work?": An exploratory analysis of transfer learning for BCI. 8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria. ⟨ hal-02321580 ⟩

The Riemannian Minimum Distance to Means Field Classifier

Marco Congedo, Pedro Luiz Coelho Rodrigues, Christian Jutten. The Riemannian Minimum Distance to Means Field Classifier. 8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria. ⟨ 10.3217/978-3-85125-682-6-02 ⟩. ⟨ hal-02315131 ⟩

Text mining with constrained tensor decomposition

Elaheh Sobhani, Pierre Comon, Christian Jutten, Massoud Babaie-Zadeh. Text mining with constrained tensor decomposition. Fifth International Conference on Machine Learning, Optimization, and Data Science, Sep 2019, Certosa di Pontignano, Siena, Italy. ⟨ hal-02084803v3 ⟩

A Data Imputation Method for Matrices in the Symmetric Positive Definite Manifold

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. A Data Imputation Method for Matrices in the Symmetric Positive Definite Manifold. XXVIIème colloque GRETSI (GRETSI 2019), Aug 2019, Lille, France. ⟨ hal-02321587 ⟩

Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms

Lucas Drumetz, Travis Meyer, Jocelyn Chanussot, Andrea Bertozzi, Christian Jutten. Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (7), pp.3435-3450. ⟨ 10.1109/TIP.2019.2897254 ⟩. ⟨ hal-02138874 ⟩

Tensor and Coupled Decompositions in Block Terms: Uniqueness and Irreducibility

Dana Lahat, Christian Jutten. Tensor and Coupled Decompositions in Block Terms: Uniqueness and Irreducibility. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Jul 2019, Toulouse, France. pp.0. ⟨ hal-02397453 ⟩

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. ⟨ 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. ⟨ 10.1109/TSP.2018.2880714 ⟩. ⟨ hal-01911746 ⟩

Grenoble Images Parole Signal Automatique laboratoire

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