Clémence Prévost

15 papers B 1Misc 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tensor decompositions for signal processing: Theory, advances, and applications.
Signal Process.
Neriman Tokcan, Shakir Showkat Sofi, Van Tien Pham, Clémence Prévost, Sofiane Kharbech, Baptiste Magnier, Thanh Phuong Nguyen, Yassine Zniyed, Lieven De Lathauwer
2025 J jnl
Optimal estimation of the canonical polyadic decomposition from low-rank tensor trains.
Signal Process.
Clémence Prévost, Pierre Chainais
2024 — conf
Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers.
EUSIPCO
Clémence Prévost, Valentin Leplat
2023 Misc conf
Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing.
ICASSP
Clémence Prévost, Valentin Leplat
2022 J jnl
Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions.
Signal Process.
Clémence Prévost, Konstantin Usevich, Martin Haardt, Pierre Comon, David Brie
2022 B conf
Fast Fusion of Hyperspectral and Multispectral Images: A Tucker Approximation Approach.
ICIP
Clémence Prévost, Pierre Chainais, Rémy Boyer
2022 J jnl
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci.
Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2022 — conf
Multi-Frame Super-Resolution MRI Using Coupled Low-Rank Tucker Approximation.
EUSIPCO
Clémence Prévost, Freddy Odille
2021 J jnl
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process.
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021 — conf
Coupled Tensor Models Accounting for Inter-image Variability.
ACSCC
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021 — —
Multimodal data fusion by coupled low-rank tensor approximations. (Fusion de données multimodales par approximations tensorielles couplées de rang faible).
Clémence Prévost
2020 J jnl
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms.
IEEE Trans. Signal Process.
Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
2020 Misc conf
On Cramér-Rao Lower Bounds with Random Equality Constraints.
ICASSP
Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon
2019 Misc conf
Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution.
ICASSP
Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
2019 — conf
Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution.
CAMSAP
Clémence Prévost, Konstantin Usevich, Pierre Comon, Martin Haardt, David Brie