Classification with Scattering Operators

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.1

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Joan Bruna, Stéphane Mallat
• Keywords: CORR 2010, Education, Multi-direction Co-occurrence Information, Scattering, Scattering Vector