Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning

The recently proposed multilayer convolutional sparse coding (ML-CSC) model, consisting of a cascade of convolutional sparse layers, provides a new interpretation of convolutional neural networks (CNNs). Under this framework, the forward pass in a CNN is equivalent to a pursuit algorithm aiming to e...

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Vydané v:	IEEE transactions on signal processing Ročník 66; číslo 15; s. 4090 - 4104
Hlavní autori:	Sulam, Jeremias, Papyan, Vardan, Romano, Yaniv, Elad, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2018
Predmet:	Adaptation models Convolution Convolutional codes convolutional neural networks Convolutional sparse coding Data models Dictionaries dictionary learning Machine learning multilayer pursuit Pursuit algorithms sparse convolutional filters
ISSN:	1053-587X
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