Compressed Sensing and Its Applications
Third International MATHEON Conference 2017
Buch in deiner Nähe kaufen
Beschreibung
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
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
Highlights state-of-the-art applications and methodologies of compressed sensing Contains chapters written by leading experts in the fields of compressed sensing and deep learning Includes a self-contained introduction to the theory and applications of compressed sensing
Autor*in
Holger Boche
Themen in »Compressed Sensing and Its Applications«
Compressed sensing Compressed sensing theory and applications Compressed sensing book Compressed sensing introduction Compressed sensing 2019 Deep learning compressed sensing Deep learning book Quantized compressed sensing Signal sensing book Generalization error machine learning MATHEON conference information and communication, circuits