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In den WarenkorbZustand: New. In.
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Sprache: Englisch
Verlag: Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031198328 ISBN 13: 9783031198328
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Taschenbuch. Zustand: Neu. Computer Vision - ECCV 2022 | 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXV | Shai Avidan (u. a.) | Taschenbuch | Lecture Notes in Computer Science | lv | Englisch | 2022 | Springer | EAN 9783031198328 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Verlag: Springer Nature Switzerland, Springer International Publishing, 2022
ISBN 10: 3031198328 ISBN 13: 9783031198328
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23-27, 2022.The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 804 | Sprache: Englisch | Produktart: Bücher | The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23¿27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.