Similarity Search and Applications

9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings

  • Laurent Amsaleg
  • Michael E. Houle
  • Erich Schubert
Conference proceedings SISAP 2016
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9939)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Graphs and Networks

  3. Metric and Permutation-Based Indexing

    1. Front Matter
      Pages 49-49
    2. Richard Connor, Lucia Vadicamo, Franco Alberto Cardillo, Fausto Rabitti
      Pages 51-64
    3. Richard Connor
      Pages 65-78
    4. Stéphane Marchand-Maillet, Edgar Roman-Rangel, Hisham Mohamed, Frank Nielsen
      Pages 79-92
    5. Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo
      Pages 93-106
  4. Multimedia

    1. Front Matter
      Pages 107-107
    2. Adam Blažek, David Kuboň, Jakub Lokoč
      Pages 117-124
    3. Fredy Martínez, Angelica Rendón, Pedro Guevara
      Pages 125-133
  5. Text and Document Similarity

    1. Front Matter
      Pages 135-135
    2. Fumito Konaka, Takao Miura
      Pages 151-163
    3. Fabio Benedetti, Domenico Beneventano, Sonia Bergamaschi
      Pages 164-178
  6. Comparisons and Benchmarks

    1. Front Matter
      Pages 179-179
    2. Yasin N. Silva, Jason Reed, Kyle Brown, Adelbert Wadsworth, Chuitian Rong
      Pages 181-195

About these proceedings

Introduction

This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016.

The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. The program of the conference was grouped in 8 categories as follows: graphs and networks; metric and permutation-based indexing; multimedia; text and document similarity; comparisons and benchmarks; hashing techniques; time-evolving data; and scalable similarity search.

Keywords

big data systems database management formal languages high-dimensional space pattern recognition

Editors and affiliations

  • Laurent Amsaleg
    • 1
  • Michael E. Houle
    • 2
  • Erich Schubert
    • 3
  1. 1.CNRS–IRISA RennesFrance
  2. 2.National Institute of Informatics TokyoJapan
  3. 3.Ludwig-Maximilians-Universität München MünchenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46759-7
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46758-0
  • Online ISBN 978-3-319-46759-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book