@inproceedings{6ec95dacef824e5fb690d251aaa4fc14,
title = "Classification with scattering operators",
abstract = "A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information. It is computed with a cascade of wavelet decompositions and complex modulus. This scattering representation is locally translation invariant and linearizes deformations. A supervised classification algorithm is computed with a PCA model selection on scattering vectors. State of the art results are obtained for handwritten digit recognition and texture classification.",
author = "Joan Bruna and St{\'e}phane Mallat",
note = "Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2011",
doi = "10.1109/CVPR.2011.5995635",
language = "English (US)",
isbn = "9781457703942",
series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
pages = "1561--1566",
booktitle = "2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011",
}