Artificial Neural Networks and Machine Learning - ICANN 2022 [electronic resource] : 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.
Contributor(s): Pimenidis, Elias [editor.]
| Angelov, Plamen [editor.] | Jayne, Chrisina [editor.] | Papaleonidas, Antonios [editor.] | Aydin, Mehmet [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 13530Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XXII, 813 p. 247 illus., 220 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031159312.Subject(s): 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 ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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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.
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