UID:
almahu_9949371963002882
Umfang:
XIV, 608 p. 190 illus., 179 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031167881
Serie:
Lecture Notes in Computer Science, 13485
Inhalt:
This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 - 30, 2022. The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.
Anmerkung:
Machine Learning Methods -- Unsupervised, Semi-supervised and Transfer Learning -- Interpretable Machine Learning -- Low-level Vision and Computational Photography -- Motion, Pose Estimation and Tracking -- 3D Vision and Stereo -- Detection and Recognition -- Language and Vision -- Scene Understanding -- Photogrammetry and Remote Sensing -- Pattern Recognition in the Life and Natural Sciences -- Systems and Applications.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031167874
Weitere Ausg.:
Printed edition: ISBN 9783031167898
Sprache:
Englisch
DOI:
10.1007/978-3-031-16788-1
URL:
https://doi.org/10.1007/978-3-031-16788-1
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