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Similarity Search and Applications : 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings / edited by Christian Beecks, Felix Borutta, Peer Kröger, Thomas Seidl.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Beecks, Christian, Editor.
Borutta, Felix., Editor.
Kröger, Peer., Editor.
Seidl, Thomas., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10609
Information Systems and Applications, incl. Internet/Web, and HCI ; 10609
Language:
English
Subjects (All):
Information storage and retrieval systems.
Artificial intelligence.
Computer vision.
Pattern recognition systems.
Software engineering.
Computer science-Mathematics.
Mathematical statistics.
Information Storage and Retrieval.
Artificial Intelligence.
Computer Vision.
Automated Pattern Recognition.
Software Engineering.
Probability and Statistics in Computer Science.
Local Subjects:
Information Storage and Retrieval.
Artificial Intelligence.
Computer Vision.
Automated Pattern Recognition.
Software Engineering.
Probability and Statistics in Computer Science.
Physical Description:
1 online resource (XI, 333 pages) : 102 illustrations
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-68474-1
9783319684741
Access Restriction:
Restricted for use by site license.

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