Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation
Javad Parsa, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten. Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.3417-3421, ⟨ 10.1109/ICASSP40776.2020.9052901 ⟩. ⟨ hal-02560161 ⟩
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten, Wing-Kin Ma, Akira Iwasaki. Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨ 10.1109/TIP.2020.2974062 ⟩. ⟨ hal-02490602 ⟩
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model from the Hapke Model
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten. Spectral Unmixing: A Derivation of the Extended Linear Mixing Model from the Hapke Model. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, In press, ⟨ 10.1109/LGRS.2019.2958203 ⟩. ⟨ hal-02434671 ⟩
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 ⟩
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 ⟩
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 ⟩
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-02084803 ⟩
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 ⟩
Prénom NOM | Date d'entrée en thèse | Sujet | Ecole doctorale |
SOBHANI Elaheh | 01/10/2018 | Décomposition tensorielle et ses applications en traitement du signal | EEATS |
Grenoble Images Parole Signal Automatique laboratoire
UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal