Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal. A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 5430-5442, 2021. [doi]
@inproceedings{BodritoZCM21,
title = {A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration},
author = {Théo Bodrito and Alexandre Zouaoui and Jocelyn Chanussot and Julien Mairal},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/2b515e2bdd63b7f034269ad747c93a42-Abstract.html},
researchr = {https://researchr.org/publication/BodritoZCM21},
cites = {0},
citedby = {0},
pages = {5430-5442},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}