Classification with scattering operators

  title={Classification with scattering operators},
  author={Joan Bruna and St{\'e}phane Mallat},
  journal={CVPR 2011},
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. 

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