Compressed Sensing and Its Applications
Third International MATHEON Conference 2017
(Sprache: Englisch)
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...
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Klappentext zu „Compressed Sensing and Its Applications “
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
Inhaltsverzeichnis zu „Compressed Sensing and Its Applications “
An Introduction to Compressed Sensing.- Quantized Compressed Sensing: a Survey.- On reconstructing functions from binary measurements.- Classification scheme for binary data with extensions.- Generalization Error in Deep Learning.- Deep learning for trivial inverse problems.- Oracle inequalities for local and global empirical risk minimizers.- Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation.- Reconstruction Methods in THz Single-pixel Imaging.
Bibliographische Angaben
- 2019, 1st ed. 2019, XVII, 295 Seiten, 39 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok, Rudolf Mathar, Philipp Petersen
- Verlag: Springer, Berlin
- ISBN-10: 3319730738
- ISBN-13: 9783319730738
- Erscheinungsdatum: 14.08.2019
Sprache:
Englisch
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