Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning

@article{Sulam2017MultilayerCS,
  title={Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning},
  author={Jeremias Sulam and Vardan Papyan and Yaniv Romano and Michael Elad},
  journal={IEEE Transactions on Signal Processing},
  year={2017},
  volume={66},
  pages={4090-4104}
}
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 estimate the nested sparse representation vectors from a given input signal. Despite having served as a pivotal connection between CNNs and sparse modeling, a deeper understanding of the ML-CSC is… CONTINUE READING
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