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arXiv · 1804.03236

Building Function Approximators on top of Haar Scattering Networks

Fernando Fernandes Neto
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Abstract

In this article we propose building general-purpose function approximators on top of Haar Scattering Networks. We advocate that this architecture enables a better comprehension of feature extraction, in addition to its implementation simplicity and low computational costs. We show its approximation and feature extraction capabilities in a wide range of different problems, which can be applied on several phenomena in signal processing, system identification, econometrics and other potential fields.

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Fernando Fernandes Neto. 2018-04-09. Building Function Approximators on top of Haar Scattering Networks. https://arxiv.org/abs/1804.03236

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