Taschenbuch. Zustand: Neu. Pattern Analysis and Machine Intelligence | Second International Conference, ICPAMI 2025, Dalian, China, October 31 - November 2, 2025, Revised Selected Papers | Jie Yang (u. a.) | Taschenbuch | xiii | Englisch | 2026 | Springer | EAN 9789819595242 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2026
ISBN 10: 981959524X ISBN 13: 9789819595242
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the referred proceedings of theSecond International Conference onPattern Analysis and Machine Intelligence,ICPAMI 2025, held in Dalian, China, during August 29 31, 2025.The 23 papers presented here were carefully reviewed and selected from 51 submissions. Their insightful talks covered the applications, challenges, and future directions of Multimodal Foundation and Large Language Models, the frontiers and perspectives in 3D Spatial Video Reconstruction, and research on defenses and out-of-distribution detection in trustworthy deep learning.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Jun 2026, 2026
ISBN 10: 981959524X ISBN 13: 9789819595242
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the referred proceedings of theSecond International Conference onPattern Analysis and Machine Intelligence,ICPAMI 2025, held in Dalian, China, during August 29 31, 2025.The 23 papers presented here were carefully reviewed and selected from 51 submissions. Their insightful talks covered the applications, challenges, and future directions of Multimodal Foundation and Large Language Models, the frontiers and perspectives in 3D Spatial Video Reconstruction, and research on defenses and out-of-distribution detection in trustworthy deep learning. 232 pp. Englisch.