Compressed Sensing and Its Applications: Third International MATHEON Conference 2017
Holger Boche · Giuseppe Caire · Robert Calderbank · Gitta Kutyniok · Rudolf Mathar · Philipp Petersen
Aug 2019 · Birkhäuser
Ebook
295
Pages
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About this ebook
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
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