Structural, Syntactic, and Statistical Pattern Recognition
Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings
Editors: Bai, X., Hancock, E.R., Ho, T.K., Wilson, R.C., Biggio, B., Robles-Kelly, A. (Eds.)
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- About this book
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This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018.
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.
- Table of contents (49 chapters)
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Image Annotation Using a Semantic Hierarchy
Pages 3-13
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Malignant Brain Tumor Classification Using the Random Forest Method
Pages 14-21
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Rotationally Invariant Bark Recognition
Pages 22-31
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Dynamic Voting in Multi-view Learning for Radiomics Applications
Pages 32-41
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Iterative Deep Subspace Clustering
Pages 42-51
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Table of contents (49 chapters)
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Bibliographic Information
- Bibliographic Information
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- 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
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 11004
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-97785-0
- DOI
- 10.1007/978-3-319-97785-0
- Softcover ISBN
- 978-3-319-97784-3
- Edition Number
- 1
- Number of Pages
- XIII, 524
- Number of Illustrations
- 134 b/w illustrations
- Topics
