C. Prévost

Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions

P. Comon, D. Brie, M. Haardt, 2022, Signal Process..

Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution

P. Comon, M. Haardt, K. Usevich, 2021 .

Fast Fusion of Hyperspectral and Multispectral Images: A Tucker Approximation Approach

P. Chainais, R. Boyer, C. Prévost, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution

M. Haardt, P. Comon, C. Prévost, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability

Ricardo Augusto Borsoi, Jos'e Carlos Moreira Bermudez, David Brie, 2020, IEEE Journal of Selected Topics in Signal Processing.

On Cramér-Rao Lower Bounds with Random Equality Constraints

Pierre Comon, David Brie, E. Chaumette, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing

C. Prévost, V. Leplat, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image

J. Bermudez, C. Richard, D. Brie, 2022, SIAM J. Imaging Sci..

Coupled Tensor Models Accounting for Inter-image Variability

J. Bermudez, C. Richard, D. Brie, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms

Pierre Comon, David Brie, Clémence Prévost, 2018, IEEE Transactions on Signal Processing.