Artikel mit Open-Access-Mandaten - Clémence PrévostWeitere Informationen
Nicht verfügbar: 1
Coupled tensor models accounting for inter-image variability
RA Borsoi, C Prévost, K Usevich, D Brie, JCM Bermudez, C Richard
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1586-1590, 2021
Mandate: Agence Nationale de la Recherche
Verfügbar: 18
Hyperspectral super-resolution with coupled tucker approximation: Recoverability and SVD-based algorithms
C Prévost, K Usevich, P Comon, D Brie
IEEE Transactions on Signal Processing 68, 931-946, 2020
Mandate: Agence Nationale de la Recherche
Coupled tensor decomposition for hyperspectral and multispectral image fusion with inter-image variability
RA Borsoi, C Prévost, K Usevich, D Brie, JCM Bermudez, C Richard
IEEE Journal of Selected Topics in Signal Processing 15 (3), 702-717, 2021
Mandate: Agence Nationale de la Recherche
Hyperspectral super-resolution accounting for spectral variability: Coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image
C Prévost, RA Borsoi, K Usevich, D Brie, JCM Bermudez, C Richard
SIAM Journal on Imaging Sciences 15 (1), 110-138, 2022
Mandate: Agence Nationale de la Recherche
Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution
C Prévost, K Usevich, P Comon, D Brie
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandate: Agence Nationale de la Recherche
On Cramér-Rao lower bounds with random equality constraints
C Prévost, E Chaumette, K Usevich, D Brie, P Comon
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandate: Agence Nationale de la Recherche
Constrained Cramér–Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions
C Prévost, K Usevich, M Haardt, P Comon, D Brie
Signal Processing 198, 108573, 2022
Mandate: Agence Nationale de la Recherche
Coupled tensor decomposition for hyperspectral and multispectral image fusion with variability
RA Borsoi, C Prévost, K Usevich, D Brie, J Bermudez, C Richard
arXiv preprint arXiv:2006.16968, 2020
Mandate: Agence Nationale de la Recherche
Nonnegative block-term decomposition with the β-divergence: Joint data fusion and blind spectral unmixing
C Prévost, V Leplat
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandate: Agence Nationale de la Recherche
Fast fusion of hyperspectral and multispectral images: A tucker approximation approach
C Prévost, P Chainais, R Boyer
2022 IEEE International Conference on Image Processing (ICIP), 2076-2080, 2022
Mandate: Agence Nationale de la Recherche
Multi-frame super-resolution mri using coupled low-rank tucker approximation
C Prévost, F Odille
2022 30th European Signal Processing Conference (EUSIPCO), 1263-1267, 2022
Mandate: Agence Nationale de la Recherche
Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution
C Prévost, K Usevich, M Haardt, P Comon, D Brie
Mandate: Agence Nationale de la Recherche
Non-local tensor sparse coding for multi-image super-resolution in magnetic resonance imaging
C Prévost, F Odille
Mandate: Agence Nationale de la Recherche
HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS
C Prévost, P Chainais
Mandate: Agence Nationale de la Recherche
DATA FUSION AND UNMIXING WITH THE REGULARIZED NON-NEGATIVE BLOCK-TERM DECOMPOSITION: JOINT PROBLEMS, BLIND APPROACH AND AUTOMATIC MODEL ORDER SELECTION
C Prévost, V Leplat
Mandate: Agence Nationale de la Recherche
Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms
R BORSOI, C Prévost, K Usevich, D Brie, J BERMUDEZ, C Richard
XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI …, 2022
Mandate: Agence Nationale de la Recherche
Factorisation tensorielle couplée en termes de rangs (L, L, 1): application conjointe à la super-résolution hyperspectrale et au démélange en présence de variabilité spectrale
C Prévost, R Borsoi, K Usevich, D Brie, J Bermudez, C Richard
XXVIIIème Colloque Francophone de Traitement du Signal et des Images, 2022
Mandate: Agence Nationale de la Recherche
On the efficiency of blind and non-blind estimation for coupled LL1 tensor models using the randomly-constrained Cramér-Rao bound
C Prévost, K Usevich, E Chaumette, D Brie, P Comon
Mandate: Agence Nationale de la Recherche
Approches tensorielles couplées pour la fusion aveugle d'images multispectrale et hyperspectrale
C Prévost, K Usevich, P Comon, D Brie
XXVIIème Colloque francophone de traitement du signal et des images, GRETSI 2019, 2019
Mandate: Agence Nationale de la Recherche
Angaben zur Publikation und Finanzierung werden automatisch von einem Computerprogramm ermittelt