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Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II / / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin



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Titolo: Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II / / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (834 pages)
Disciplina: 006.3
006.32
Soggetto topico: Artificial intelligence
Computer engineering
Computer networks
Computers
Image processing - Digital techniques
Computer vision
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer and Information Systems Applications
Persona (resp. second.): PimenidisElias
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: Chapters “Learning Flexible Translation Between Robot Actions and Language Descriptions”, “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Titolo autorizzato: Artificial neural networks and machine learning -- ICANN 2022  Visualizza cluster
ISBN: 3-031-15931-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910592980403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13530