Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13189)
Included in the following conference series:
Conference proceedings info: ACPR 2021.
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About this book
The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
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Keywords
- artificial intelligence
- computer networks
- computer science
- computer systems
- computer vision
- databases
- deep learning
- education
- engineering
- image analysis
- image processing
- image reconstruction
- image segmentation
- information retrieval
- learning
- machine learning
- mathematics
- neural networks
- pattern recognition
- signal processing
Table of contents (43 papers)
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Computational Photography
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Learning Theory and Optimization
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Applications, Medical and Robotics
Other volumes
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Pattern Recognition
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Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Pattern Recognition
Book Subtitle: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9–12, 2021, Revised Selected Papers, Part II
Editors: Christian Wallraven, Qingshan Liu, Hajime Nagahara
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-02444-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-02443-6Published: 10 May 2022
eBook ISBN: 978-3-031-02444-3Published: 09 May 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 593
Number of Illustrations: 15 b/w illustrations, 195 illustrations in colour
Topics: Pattern Recognition, Computers and Education, Computer Systems Organization and Communication Networks, Image Processing and Computer Vision, Artificial Intelligence