Similarity search and applications : 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings / Laurent Amsaleg, Michael E. Houle, Erich Schubert (eds.).
2016
Z667
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Title
Similarity search and applications : 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings / Laurent Amsaleg, Michael E. Houle, Erich Schubert (eds.).
Meeting Name
International Conference on Similarity Search and Applications (9th : 2016 : Tokyo, Japan)
ISBN
9783319467597 (electronic book)
331946759X (electronic book)
9783319467580
331946759X (electronic book)
9783319467580
Published
Cham, Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xvii, 339 pages) : illustrations.
Item Number
10.1007/978-3-319-46759-7 doi
Call Number
Z667
Dewey Decimal Classification
025.04
Summary
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.
Note
International conference proceedings.
Includes author index.
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 28, 2016).
Series
Lecture notes in computer science ; 9939.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Table of Contents
Graphs and Networks
Metric and Permutation-based Indexing
Multimedia
Text and Document Similarity
Comparisons and Benchmarks
Hashing Techniques
Time-evolving Data
Scalable Similarity Search.
Metric and Permutation-based Indexing
Multimedia
Text and Document Similarity
Comparisons and Benchmarks
Hashing Techniques
Time-evolving Data
Scalable Similarity Search.