Compressed Sensing and Its Applications - pr_343594

Compressed Sensing and Its Applications

Third International MATHEON Conference 2017

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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.

Product code: 9783319730738

ISBN 9783319730738
Dimensions (HxWxD in mm) H235xW155
Series Applied and Numerical Harmonic Analysis
Publisher Birkhauser Verlag AG
No. Of Pages 295
Edition 1st ed. 2019
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.