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Beschreibung
This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.
The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.
The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.
8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 30. April 2021 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 890 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030755485 |
| Auflage | 1st ed. 2021 |
| Seiten | 580 |
Schlagwörter
Automated Pattern Recognition, Computer Application in Social and Behavioral Sciences, Computer Communication Networks, Computer Vision, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Machine Learning, Maschinelles Lernen, Maschinelles Sehen - Bildverstehen, Mathematics of Computing, Mathematik für Informatiker, Mustererkennung, Netzwerk-Hardware
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