Convolutional Dictionary Learning in Hierarchical Networks

Filter banks are a popular tool for the analysis of piecewise smooth signals such as natural images. Motivated by the empirically observed properties of scale and detail coefficients of images in the wavelet domain, we propose a hierarchical deep generative model of piecewise smooth signals that is...

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Vydané v:	2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) s. 131 - 135
Hlavní autori:	Zazo, Javier, Tolooshams, Bahareh, Ba, Demba, Paulson, Harvard John A.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	Analytical models Convolution Convolutional codes Convolutional dictionary learning deep networks Dictionaries Encoding hierarchical models Machine learning sparse coding Wavelet analysis
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