Clémence Prévost
Orcid: 0000-0001-9359-4626
According to our database1,
Clémence Prévost
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions.
Signal Process., 2022
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., 2022
Fast Fusion of Hyperspectral and Multispectral Images: A Tucker Approximation Approach.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Multimodal data fusion by coupled low-rank tensor approximations. (Fusion de données multimodales par approximations tensorielles couplées de rang faible).
PhD thesis, 2021
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms.
IEEE Trans. Signal Process., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution.
Proceedings of the IEEE International Conference on Acoustics, 2019
Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019