Pattern recognition : 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, proceedings / Björn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke (eds.).
GCPR (Conference) (44th : 2022 : Konstanz, Germany).; Andres, Björn, editor.; Bernard, Florian, editor.; Cremers, Daniel, editor.; Frintrop, Simone, editor.; Goldlücke, Bastian, editor.; Ihrke, Ivo, editor.
2022
Q337.5
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Title
Pattern recognition : 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, proceedings / Björn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke (eds.).
Meeting Name
GCPR (Conference) (44th : 2022 : Konstanz, Germany).
ISBN
9783031167881 (electronic bk.)
3031167880 (electronic bk.)
9783031167874
DOI
https://doi.org/10.1007/978-3-031-16788-1
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xiv, 608 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-16788-1 doi
Call Number
Q337.5
Dewey Decimal Classification
006.4
Summary
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.
Note
International conference proceedings.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 28, 2022).
Added Author
Andres, Björn, editor.
Bernard, Florian, editor.
Cremers, Daniel, editor.
Frintrop, Simone, editor.
Goldlücke, Bastian, editor.
Ihrke, Ivo, editor.
Series
Lecture notes in computer science ; 13485. 1611-3349
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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.

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