Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10029)
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 2016.
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Table of contents (51 papers)
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Dimensionality Reduction, Manifold Learning and Embedding Methods
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Dissimilarity Representations
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Graph-Theoretic Methods
Other volumes
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Structural, Syntactic, and Statistical Pattern Recognition
Keywords
- complex networks
- machine learning
- optimization
- semantic segmentation
- visualization
- artificial intelligence
- biometrics
- database query processing and optimization
- graph mining
- graph theory and discrete mathematics
- image classification
- infromation storage and retrieval
- information systems
- multi-label classification
- nonlinear embedding
- object tracking
- probabilistic inference problems
- programming techniques
- semi-supervised learning
- structural SV
About this book
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Structural, Syntactic, and Statistical Pattern Recognition
Book Subtitle: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings
Editors: Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-49055-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2016
Softcover ISBN: 978-3-319-49054-0Published: 05 November 2016
eBook ISBN: 978-3-319-49055-7Published: 04 November 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 588
Number of Illustrations: 167 b/w illustrations
Topics: Artificial Intelligence, Pattern Recognition, Information Systems Applications (incl. Internet), Database Management, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery