Computer Analysis of Images and Patterns CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Vento, Mario (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Percannella, Gennaro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Colantonio, Sara (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Giorgi, Daniela (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Matuszewski, Bogdan J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kerdegari, Hamideh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Razaak, Manzoor (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1089
• Θέματα: Optical data processing.; Artificial intelligence.; Application software.; User interfaces (Computer systems).; Computer communication systems.; Image Processing and Computer Vision.; Artificial Intelligence.; Information Systems Applications (incl. Internet).; User Interfaces and Human Computer Interaction.; Computer Communication Networks.
• Φυσική περιγραφή: XIV, 129 p. 60 illus., 48 illus. in color. online resource.
• ISBN: 9783030299309
• ISSN: 1865-0929 ;
• DOI: 10.1007/978-3-030-29930-9

This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV.