Clémence Prévost

Orcid: 0000-0001-9359-4626

According to our database1, Clémence Prévost authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Coupled Tensor Models Accounting for Inter-image Variability.
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

On Cramér-Rao Lower Bounds with Random Equality Constraints.
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


  Loading...