Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11223)
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 2018.
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Table of contents (20 papers)
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Front Matter
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Metric Search
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Front Matter
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Graphs and Applications
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Front Matter
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About this book
The 16 full papers presented together with 3 short papers and 1 demonstration paper were carefully reviewed and selected from 31 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: metric search; visual search; nearest neighbor queries; clustering and outlier detection; graphs and applications; and shared session SISAP and SPIRE.
Editors and Affiliations
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University of Geneva, Carouge, Switzerland
Stéphane Marchand-Maillet
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Arizona State University, Tempe, USA
Yasin N. Silva
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Center for Scientific Research and Higher Education, Ensenada, Mexico
Edgar Chávez
Bibliographic Information
Book Title: Similarity Search and Applications
Book Subtitle: 11th International Conference, SISAP 2018, Lima, Peru, October 7–9, 2018, Proceedings
Editors: Stéphane Marchand-Maillet, Yasin N. Silva, Edgar Chávez
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-02224-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-02223-5Published: 04 October 2018
eBook ISBN: 978-3-030-02224-2Published: 04 October 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 271
Number of Illustrations: 66 b/w illustrations
Topics: Information Storage and Retrieval, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Artificial Intelligence