Compressed Sensing and Its Applications, 1st ed. 2019 Third International MATHEON Conference 2017 Applied and Numerical Harmonic Analysis Series
Coordonnateurs : Boche Holger, Caire Giuseppe, Calderbank Robert, Kutyniok Gitta, Mathar Rudolf, Petersen Philipp
- Quantized compressed sensing
- Classification
- Machine learning
- Oracle inequalities
- Non-convex optimization
- Image reconstruction
- Statistical learning theory
Date de parution : 08-2019
Ouvrage de 295 p.
15.5x23.5 cm
Thèmes de Compressed Sensing and Its Applications :
Mots-clés :
Compressed sensing; Compressed sensing theory and applications; Compressed sensing book; Compressed sensing introduction; Compressed sensing 2019; Deep learning compressed sensing; Deep learning book; Machine learning; Quantized compressed sensing; Signal sensing book; Generalization error machine learning; MATHEON conference; information and communication; circuits