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Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks.
Vardan Papyan
Yaniv Romano
Jeremias Sulam
Michael Elad
Published in:
IEEE Signal Process. Mag. (2018)
Keyphrases
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theoretical foundation
sparse representation
probabilistic model
theoretical framework
deep learning
machine learning
high dimensional
dictionary learning
computer vision
similarity measure
image patches
compressive sensing
convolutional neural networks