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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings

  • Xiao Bai
  • Edwin R. Hancock
  • Tin Kam Ho
  • Richard C. Wilson
  • Battista Biggio
  • Antonio Robles-Kelly
Conference proceedings S+SSPR 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11004)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11004)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Classification and Clustering

    1. Front Matter
      Pages 1-1
    2. Abdessalem Bouzaieni, Salvatore Tabbone
      Pages 3-13
    3. Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen
      Pages 14-21
    4. Václav Remeš, Michal Haindl
      Pages 22-31
    5. Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
      Pages 32-41
    6. Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin Hancock
      Pages 42-51
  3. Deep Learning and Neural Networks

    1. Front Matter
      Pages 63-63
    2. Xinran Wang, Peng Ren, Leijian Yu, Lirong Han, Xiaogang Deng
      Pages 76-85
    3. Ran Wei, Antonio Robles-Kelly, José Álvarez
      Pages 86-96
    4. Évariste Daller, Sébastien Bougleux, Luc Brun, Olivier Lézoray
      Pages 97-106
    5. Peng Sun, Wenzhong Tang, Xiao Bai
      Pages 107-115
  4. Dissimilarity Representations and Gaussian Processes

    1. Front Matter
      Pages 117-117
    2. Antonelli Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
      Pages 119-129
    3. Frédéric Rayar, Seiichi Uchida
      Pages 140-149
    4. Ziwei Xiong, Nan Zhao, Chenglong Li, Jin Tang
      Pages 150-159
    5. Lorenzo Bottarelli, Marco Loog
      Pages 160-169
  5. Semi and Fully Supervised Learning Methods

    1. Front Matter
      Pages 171-171
    2. Frank-Michael Schleif, Christoph Raab, Peter Tino
      Pages 173-183
    3. Ryosuke Odate, Hiroshi Shinjo, Yasufumi Suzuki, Masahiro Motobayashi
      Pages 184-193
    4. Ventzeslav Valev, Nicola Yanev, Adam Krzyżak, Karima Ben Suliman
      Pages 194-203
    5. Xiang Wang, Chen Wang, Xiao Bai, Yun Liu, Jun Zhou
      Pages 204-214
  6. Spatio-temporal Pattern Recognition and Shape Analysis

    1. Front Matter
      Pages 215-215
    2. Ibrahim Caglar, Edwin R. Hancock
      Pages 217-226
    3. Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
      Pages 227-236
    4. Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
      Pages 237-247
    5. Jianming Liu, Yongsheng Gao, Yue Li
      Pages 248-257
    6. Aysylu Gabdulkhakova, Maximilian Langer, Bernhard W. Langer, Walter G. Kropatsch
      Pages 258-267
  7. Structural Matching

    1. Front Matter
      Pages 269-269
    2. Carlos Francisco Moreno-García, Francesc Serratosa
      Pages 271-281
    3. David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun
      Pages 293-303
    4. Mostafa Darwiche, Romain Raveaux, Donatello Conte, Vincent T’Kindt
      Pages 304-314
    5. Vincenzo Carletti, Pasquale Foggia, Antonio Greco, Alessia Saggese, Mario Vento
      Pages 315-325
    6. Xavier Cortés, Donatello Conte, Hubert Cardot, Francesc Serratosa
      Pages 326-336
    7. Shri Prakash Dwivedi, Ravi Shankar Singh
      Pages 337-344
    8. Rafael de O. Werneck, Romain Raveaux, Salvatore Tabbone, Ricardo da S. Torres
      Pages 345-354
  8. Multimedia Analysis and Understanding

    1. Front Matter
      Pages 355-355
    2. Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo
      Pages 357-366
    3. Richard C. Wilson, Edwin R. Hancock
      Pages 367-375
    4. Cai Meng, Qi Wang, Shaoya Guan, Yi Xie
      Pages 376-385
    5. Yun Liu, Cheng Yan, Xiao Bai, Jun Zhou
      Pages 386-394
    6. Xueni Zhang, Lei Zhou, Xiao Bai, Edwin Hancock
      Pages 395-405
    7. Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai
      Pages 406-415
    8. Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew
      Pages 416-426
  9. Graph-Theoretic Methods

    1. Front Matter
      Pages 427-427
    2. Xavier Cortés, Donatello Conte, Hubert Cardot
      Pages 429-438

About these proceedings

Introduction

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. 

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

Editors and affiliations

  • Xiao Bai
    • 1
  • Edwin R. Hancock
    • 2
  • Tin Kam Ho
    • 3
  • Richard C. Wilson
    • 4
  • Battista Biggio
    • 5
  • Antonio Robles-Kelly
    • 6
  1. 1.Beihang UniversityBeijingChina
  2. 2.University of YorkYorkUnited Kingdom
  3. 3.IBM Research – Thomas J. Watson ResearchYorktown HeightsUSA
  4. 4.University of YorkHeslington, YorkUnited Kingdom
  5. 5.University of CagliariCagliariItaly
  6. 6.Data 61 - CSIROCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-97785-0
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-97784-3
  • Online ISBN 978-3-319-97785-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site