Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding

22 Feb 2017 Papyan Vardan Sulam Jeremias Elad Michael

The celebrated sparse representation model has led to remarkable results in various signal processing tasks in the last decade. However, despite its initial purpose of serving as a global prior for entire signals, it has been commonly used for modeling low dimensional patches due to the computational constraints it entails when deployed with learned dictionaries... (read more)

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  • INFORMATION THEORY
  • INFORMATION THEORY