Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11004)
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 2018.
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Table of contents (49 papers)
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Classification and Clustering
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Deep Learning and Neural Networks
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Dissimilarity Representations and Gaussian Processes
Other volumes
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Structural, Syntactic, and Statistical Pattern Recognition
Keywords
- artificial intelligence
- clustering
- clustering algorithms
- graph theory
- graphic methods
- image processing
- image reconstruction
- image segmentation
- neural networks
- pattern recognition
- semantics
- Support Vector Machines (SVM)
- machine learning
- structural matching
- algorithm analysis and problem complexity
- data structures
About this book
The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.
Editors and Affiliations
Bibliographic Information
Book Title: Structural, Syntactic, and Statistical Pattern Recognition
Book Subtitle: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings
Editors: Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-97785-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-97784-3Published: 02 August 2018
eBook ISBN: 978-3-319-97785-0Published: 10 August 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 524
Number of Illustrations: 134 b/w illustrations
Topics: Artificial Intelligence, Pattern Recognition, Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science, Data Structures