
Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11824)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: DAGM GCPR 2019.
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About this book
This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019.
The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series.
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Table of contents (43 papers)
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Front Matter
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Oral Session I: Image Processing and Analysis
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Front Matter
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Oral Session II: Imaging Techniques, Image Analysis
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Front Matter
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Oral Session IV: Image Analysis, Applications
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Front Matter
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Editors and Affiliations
Accessibility Information
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Bibliographic Information
Book Title: Pattern Recognition
Book Subtitle: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings
Editors: Gernot A. Fink, Simone Frintrop, Xiaoyi Jiang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33676-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33675-2Published: 26 October 2019
eBook ISBN: 978-3-030-33676-9Published: 24 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 626
Number of Illustrations: 137 b/w illustrations, 220 illustrations in colour
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Mathematical Logic and Formal Languages
Keywords
- computer vision
- image/video processing
- machine learning
- deep learning
- pattern recognition
- data mining
- statistical data analysis and models
- computational photography
- biomedical image analysis
- artificial intelligence
- semantics
- neural networks
- classification
- estimation
- image segmentation
- image reconstruction
