Florent Bouchard, Jérôme Malick, Marco Congedo. Approximate Joint Diagonalization According to the Natural Riemannian Distance. In Petr Tichavský, Massoud Babaie-Zadeh, Olivier J. J. Michel, Nadège Thirion-Moreau, editors, Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings. Volume 10169 of Lecture Notes in Computer Science, pages 290-299, 2017. [doi]
@inproceedings{BouchardMC17,
title = {Approximate Joint Diagonalization According to the Natural Riemannian Distance},
author = {Florent Bouchard and Jérôme Malick and Marco Congedo},
year = {2017},
doi = {10.1007/978-3-319-53547-0_28},
url = {http://dx.doi.org/10.1007/978-3-319-53547-0_28},
researchr = {https://researchr.org/publication/BouchardMC17},
cites = {0},
citedby = {0},
pages = {290-299},
booktitle = {Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings},
editor = {Petr Tichavský and Massoud Babaie-Zadeh and Olivier J. J. Michel and Nadège Thirion-Moreau},
volume = {10169},
series = {Lecture Notes in Computer Science},
isbn = {978-3-319-53546-3},
}