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| Titolo: |
Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10-15, 2021, Proceedings, Part VII / / edited by Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (696 pages) : illustrations |
| Disciplina: | 006.4 |
| Soggetto topico: | Computer vision |
| Application software | |
| Artificial intelligence | |
| Computers | |
| Computer Vision | |
| Computer and Information Systems Applications | |
| Artificial Intelligence | |
| Computing Milieux | |
| Persona (resp. second.): | Del BimboAlberto |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Computing methodologies -- artificial intelligence -- natural language processing -- computing methodologies -- machine learning -- computer graphics -- human-centered computing -- information systems -- pattern analysis -- machine learning -- surveillance -- forensics -- biometrics. |
| Sommario/riassunto: | This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020. |
| Titolo autorizzato: | Pattern Recognition. ICPR International Workshops and Challenges ![]() |
| ISBN: | 3-030-68787-2 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483598403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |