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Similarity Search and Applications

10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings

  • Christian Beecks
  • Felix Borutta
  • Peer Kröger
  • Thomas Seidl

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10609)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10609)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Approximate Similarity Search

  3. Improving Similarity Search Methods and Applications

    1. Front Matter
      Pages 51-51
    2. Vladimir Mic, David Novak, Pavel Zezula
      Pages 53-63
    3. Richard Connor, Lucia Vadicamo, Fausto Rabitti
      Pages 96-109
    4. Michael E. Houle, Vincent Oria, Arwa M. Wali
      Pages 110-124
  4. Distances for Complex Objects

    1. Front Matter
      Pages 125-125
    2. Jörg P. Bachmann, Johann-Christoph Freytag
      Pages 127-140
    3. Merih Seran Uysal, Kai Driessen, Tobias Brockhoff, Thomas Seidl
      Pages 141-155
    4. Stefan Schwarz, Mateusz Pawlik, Nikolaus Augsten
      Pages 156-170 Open Access
  5. Outlier Detection

    1. Front Matter
      Pages 171-171
    2. Evelyn Kirner, Erich Schubert, Arthur Zimek
      Pages 173-187
  6. Indexing and Applications

    1. Front Matter
      Pages 205-205
    2. Yasuo Tabei, Simon J. Puglisi
      Pages 207-219
    3. Angello Hoyos, Ubaldo Ruiz, Eric Tellez, Edgar Chavez
      Pages 220-233
    4. Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.
      Pages 247-261
    5. Kazuki Ishiyama, Koji Kobayashi, Kunihiko Sadakane
      Pages 262-272
  7. Applications and Specific Domains

    1. Front Matter
      Pages 273-273
    2. Haukur Pálmason, Björn Þór Jónsson, Laurent Amsaleg, Markus Schedl, Peter Knees
      Pages 275-283
    3. Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero
      Pages 284-299
    4. Haochen Chen, Arvind Ram Anantharam, Steven Skiena
      Pages 300-314
    5. Jakub Lokoč, Tomáš Grošup, Přemysl Čech, Tomáš Pevný, Tomáš Skopal
      Pages 315-323
    6. Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck, Daniel A. Keim
      Pages 324-332
  8. Back Matter
    Pages 333-333

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Similarity Search and Applications, SISAP 2017, held in Munich, Germany, in October 2017.

The 23 full papers presented were carefully reviewed and selected from 53 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are organized in the following topical sections: approximate similarity search; improving similarity search methods and applications; distances for complex objects; outlier detection; indexing and applications; and applications and specific domains.

The paper 'A New Perspective on the Tree Edit Distance' is published open access under a CC BY 4.0 license at link.springer.com.

Keywords

applications approximate similarity search artificial intelligence classification data mining databases feature selection finite element method image processing indexing (of information) information retrieval learning systems pattern recognition probability query languages query processing search engines similarity search software engineering telecommunication networks

Editors and affiliations

  • Christian Beecks
    • 1
  • Felix Borutta
    • 2
  • Peer Kröger
    • 3
  • Thomas Seidl
    • 4
  1. 1.Fraunhofer Institute for Applied Information TechnologySankt AugustinGermany
  2. 2.Ludwig-Maximilians-Universität MünchenMunichGermany
  3. 3.Ludwig-Maximilians-Universität MünchenMunichGermany
  4. 4.Ludwig-Maximilians-Universität MünchenMunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68474-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-68473-4
  • Online ISBN 978-3-319-68474-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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