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Compressed Sensing and Its Applications : Third International MATHEON Conference 2017 - Holger Boche

Compressed Sensing and Its Applications

Third International MATHEON Conference 2017

By: Holger Boche (Editor), Giuseppe Caire (Editor), Robert Calderbank (Editor), Gitta Kutyniok (Editor), Philipp Petersen (Editor)

eText | 13 August 2019

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The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include:

  • Quantized compressed sensing
  • Classification
  • Machine learning
  • Oracle inequalities
  • Non-convex optimization
  • Image reconstruction
  • Statistical learning theory

This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.

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