Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan. Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. In Thierry Denoeux, Marie-Hélène Masson, editors, Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012. Volume 164 of Advances in Soft Computing, pages 197-204, Springer, 2012. [doi]
@inproceedings{LelandaisGMVR12,
title = {Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing},
author = {Benoît Lelandais and Isabelle Gardin and Laurent Mouchard and Pierre Vera and Su Ruan},
year = {2012},
doi = {10.1007/978-3-642-29461-7_23},
url = {http://dx.doi.org/10.1007/978-3-642-29461-7_23},
researchr = {https://researchr.org/publication/LelandaisGMVR12},
cites = {0},
citedby = {0},
pages = {197-204},
booktitle = {Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012},
editor = {Thierry Denoeux and Marie-Hélène Masson},
volume = {164},
series = {Advances in Soft Computing},
publisher = {Springer},
isbn = {978-3-642-29460-0},
}