Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9939)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): SISAP: International Conference on Similarity Search and Applications
Conference proceedings info: SISAP 2016.
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Table of contents (26 papers)
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Front Matter
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Metric and Permutation-Based Indexing
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Front Matter
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Comparisons and Benchmarks
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Front Matter
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About this book
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.
Editors and Affiliations
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CNRS–IRISA , Rennes, France
Laurent Amsaleg
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National Institute of Informatics , Tokyo, Japan
Michael E. Houle
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Ludwig-Maximilians-Universität München , München, Germany
Erich Schubert
Bibliographic Information
Book Title: Similarity Search and Applications
Book Subtitle: 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings
Editors: Laurent Amsaleg, Michael E. Houle, Erich Schubert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-46759-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-46758-0Published: 27 September 2016
eBook ISBN: 978-3-319-46759-7Published: 26 September 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 339
Number of Illustrations: 135 b/w illustrations
Topics: Information Storage and Retrieval, Pattern Recognition, Data Structures, Database Management, Algorithm Analysis and Problem Complexity, Numeric Computing