Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12644)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: S+SSPR 2021.
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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 2020, held in Padua, Italy, in January 2021.
The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions.
The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
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Keywords
- artificial intelligence
- computer networks
- computer science
- computer systems
- computer vision
- directed graphs
- education
- engineering
- graph theory
- image analysis
- image processing
- image segmentation
- internet
- learning
- machine learning
- mathematics
- neural networks
- pattern recognition
- signal processing
- theoretical computer science
- algorithm analysis and problem complexity
Table of contents (35 papers)
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Graph-Theoretic Methods
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Multimedia Analysis and Understanding
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Front Matter
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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 2020, Padua, Italy, January 21–22, 2021, Proceedings
Editors: Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-73973-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-73972-0Published: 10 April 2021
eBook ISBN: 978-3-030-73973-7Published: 09 April 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 378
Number of Illustrations: 19 b/w illustrations, 84 illustrations in colour
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Data Structures, Computer Appl. in Social and Behavioral Sciences, Computing Milieux, Mathematics of Computing
