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• W2796543227 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." @default.
• W2796543227 created "2018-04-24" @default.
• W2796543227 creator A5033878635 @default.
• W2796543227 date "2018-04-09" @default.
• W2796543227 modified "2023-09-27" @default.
• W2796543227 title "Building Function Approximators on top of Haar Scattering Networks" @default.
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