Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13813)
Included in the following conference series:
Conference proceedings info: S+SSPR 2022.
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About this book
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022.
The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.
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Keywords
- artificial intelligence
- computer networks
- computer science
- computer systems
- computer vision
- databases
- education
- engineering
- graph theory
- image analysis
- image processing
- image reconstruction
- internet
- learning
- machine learning
- mathematics
- neural networks
- pattern recognition
- signal processing
- theoretical computer science
Table of contents (32 papers)
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Front Matter
Other volumes
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Structural, Syntactic, and Statistical Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Structural, Syntactic, and Statistical Pattern Recognition
Book Subtitle: Joint IAPR International Workshops, S+SSPR 2022, Montreal, QC, Canada, August 26–27, 2022, Proceedings
Editors: Adam Krzyzak, Ching Y. Suen, Andrea Torsello, Nicola Nobile
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-23028-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-23027-1Published: 02 January 2023
eBook ISBN: 978-3-031-23028-8Published: 01 January 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 324
Number of Illustrations: 25 b/w illustrations, 93 illustrations in colour
Topics: Artificial Intelligence, Discrete Mathematics in Computer Science, Algorithm Analysis and Problem Complexity, Computer Graphics, Image Processing and Computer Vision, Pattern Recognition