Clémence Prévost
Université de Lorraine
H-index: 6
Europe-France
Top articles of Clémence Prévost
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
DATA FUSION AND UNMIXING WITH THE REGULARIZED NON-NEGATIVE BLOCK-TERM DECOMPOSITION: JOINT PROBLEMS, BLIND APPROACH AND AUTOMATIC MODEL ORDER SELECTION | Clémence Prévost Valentin Leplat | 2023/11/23 | |
Non-local tensor sparse coding for multi-image super-resolution in magnetic resonance imaging | Clémence Prévost F Odille | 2023/11/23 | |
Super-résolution hyperspectrale et démélange conjoints: approche tensorielle sous contraintes de positivité et semi-aveugle basée sur la β-divergence | Clémence Prévost Valentin Leplat | 2023/8/28 | |
Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing | Clémence Prévost Valentin Leplat | 2023/6/4 | |
HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS | Clémence Prévost Pierre Chainais | 2023/11/23 | |
Super-resolution reconstruction of brain 3D magnetic resonance images using a coupled tensor multilinear approximation | Clémence Prévost F Odille | 2022/6/3 | |
Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms | Ricardo BORSOI Clémence Prévost Konstantin Usevich David Brie José BERMUDEZ | 2022/9/6 | |
Hyperspectral super-resolution accounting for spectral variability: Coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image | Clémence Prévost Ricardo A Borsoi Konstantin Usevich David Brie José CM Bermudez | 2021/3/3 | |
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 | Clémence Prévost Ricardo Borsoi Konstantin Usevich David Brie José Bermudez | 2022/9/6 | |
Super-résolution multi-images en IRM par approximation de Tucker couplée | Clémence Prévost F Odille | 2022/9/6 | |
Constrained Cramér–Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions | Signal Processing | Clémence Prévost Konstantin Usevich Martin Haardt Pierre Comon David Brie | 2022/9/1 |
Multi-frame super-resolution mri using coupled low-rank tucker approximation | Clémence Prévost Freddy Odille | 2022/8/29 | |
Fast fusion of hyperspectral and multispectral images: A tucker approximation approach | Clémence Prévost Pierre Chainais Remy Boyer | 2022/10/16 | |
Multimodal data fusion by coupled low-rank tensor approximations | Clémence Prévost | 2021/10/22 | |
Coupled tensor decomposition for hyperspectral and multispectral image fusion with inter-image variability | IEEE Journal of Selected Topics in Signal Processing | Ricardo A Borsoi Clémence Prévost Konstantin Usevich David Brie José CM Bermudez | 2021/1/28 |
On the efficiency of blind and non-blind estimation for coupled LL1 tensor models using the randomly-constrained Cramér-Rao bound | Clémence Prévost Konstantin Usevich Eric Chaumette David Brie Pierre Comon | 2021/12/29 | |
Coupled tensor models accounting for inter-image variability | Ricardo A Borsoi Clémence Prévost Konstantin Usevich David Brie José CM Bermudez | 2021/10/31 | |
Fusion de données multimodales par approximations tensorielles couplées de rang faible | Clémence Prévost | 2021/10/22 | |
Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution | Clémence Prévost Konstantin Usevich Martin Haardt Pierre Comon David Brie | 2020/12/19 | |
Hyperspectral super-resolution with coupled tucker approximation: Recoverability and SVD-based algorithms | IEEE Transactions on Signal Processing | Clémence Prévost Konstantin Usevich Pierre Comon David Brie | 2020/1/15 |
