Extends Cover's separation capacity to scattering networks by counting realizable dichotomies and identifies governing factors in network building blocks.
Large-scale learning with SVM and convolutional for generic object categorization,
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Separation Capacity of Scattering Networks
Extends Cover's separation capacity to scattering networks by counting realizable dichotomies and identifies governing factors in network building blocks.