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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Antonio Robles-Kelly

    1. Data 61 - CSIRO , Canberra, Australia

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  2. Marco Loog

    1. Pattern Recognition Laboratory, Technical University of Delft Pattern Recognition Laboratory, CD Delft, The Netherlands

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  3. Battista Biggio

    1. Electrical and Electronic Engineering, University of Cagliari Electrical and Electronic Engineering, Cagliari, Italy

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  4. Francisco Escolano

    1. Computación e IA, Universidad de Alicante Computación e IA, Alicante, Spain

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  5. Richard Wilson

    1. Computer Science, University of York Computer Science, York, United Kingdom

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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)

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Table of contents (51 papers)

  1. Front Matter

    Pages I-XIII
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  2. Dimensionality Reduction, Manifold Learning and Embedding Methods

    1. Front Matter

      Pages 1-1
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    2. P2P Lending Analysis Using the Most Relevant Graph-Based Features

      • Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
      Pages 3-14

    3. Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification

      • Keigo Kimura, Mineichi Kudo, Lu Sun
      Pages 15-25

    4. Least-Squares Regression with Unitary Constraints for Network Behaviour Classification

      • Antonio Robles-Kelly
      Pages 26-36

    5. Mathematical Aspects of Tensor Subspace Method

      • Hayato Itoh, Atsushi Imiya, Tomoya Sakai
      Pages 37-48

    6. Thermodynamic Characterization of Temporal Networks

      • Giorgia Minello, Andrea Torsello, Edwin R. Hancock
      Pages 49-59

  3. Dissimilarity Representations

    1. Front Matter

      Pages 61-61
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    2. A Multi-Stage Approach for Fast Person Re-identification

      • Bahram Lavi, Giorgio Fumera, Fabio Roli
      Pages 63-73

    3. Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space

      • Mauricio Orozco-Alzate, Robert P. W. Duin, Manuele Bicego
      Pages 74-83

    4. The Similarity Between Dissimilarities

      • David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll
      Pages 84-94

    5. Bilingual Data Selection Using a Continuous Vector-Space Representation

      • Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta
      Pages 95-106

    6. Improved Prototype Embedding Based Generalized Median Computation by Means of Refined Reconstruction Methods

      • Andreas Nienkötter, Xiaoyi Jiang
      Pages 107-117

  4. Graph-Theoretic Methods

    1. Front Matter

      Pages 119-119
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    2. On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance

      • Xavier Cortés, Francesc Serratosa, Kaspar Riesen
      Pages 121-131

    3. GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification

      • Romain Deville, Elisa Fromont, Baptiste Jeudy, Christine Solnon
      Pages 132-142

    4. Edge Centrality via the Holevo Quantity

      • Joshua Lockhart, Giorgia Minello, Luca Rossi, Simone Severini, Andrea Torsello
      Pages 143-152

    5. Thermodynamic Network Analysis with Quantum Spin Statistics

      • Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
      Pages 153-162

    6. Correlation Network Evolution Using Mean Reversion Autoregression

      • Cheng Ye, Richard C. Wilson, Edwin R. Hancock
      Pages 163-173

    7. Graph Entropy from Closed Walk and Cycle Functionals

      • Furqan Aziz, Edwin R. Hancock, Richard C. Wilson
      Pages 174-184
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  1. Structural, Syntactic, and Statistical Pattern Recognition

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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 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

  • Data 61 - CSIRO , Canberra, Australia

    Antonio Robles-Kelly

  • Pattern Recognition Laboratory, Technical University of Delft Pattern Recognition Laboratory, CD Delft, The Netherlands

    Marco Loog

  • Electrical and Electronic Engineering, University of Cagliari Electrical and Electronic Engineering, Cagliari, Italy

    Battista Biggio

  • Computación e IA, Universidad de Alicante Computación e IA, Alicante, Spain

    Francisco Escolano

  • Computer Science, University of York Computer Science, York, United Kingdom

    Richard Wilson

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