Deep Haar Scattering Networks in Pattern Recognition: A promising approach

no code implementations • 29 Nov 2018 • Fernando Fernandes Neto, Alemayehu Admasu Solomon, Rodrigo de Losso, Claudio Garcia, Pedro Delano Cavalcanti

The aim of this paper is to discuss the use of Haar scattering networks, which is a very simple architecture that naturally supports a large number of stacked layers, yet with very few parameters, in a relatively broad set of pattern recognition problems, including regression and classification tasks.

Classification General Classification +3