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Similarity Search and Applications

13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12440)

Included in the following conference series:

Conference proceedings info: SISAP 2020.

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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic.

The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium.

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Keywords

Table of contents (33 papers)

  1. Scalable Similarity Search

  2. Similarity Measures, Search, and Indexing

  3. High-Dimensional Data and Intrinsic Dimensionality

Other volumes

  1. Similarity Search and Applications

Editors and Affiliations

  • National Institute of Informatics, Tokyo, Japan

    Shin'ichi Satoh

  • ISTI-CNR, Pisa, Italy

    Lucia Vadicamo, Fabio Carrara

  • University of Southern Denmark, Odense M, Denmark

    Arthur Zimek

  • University of Bologna, Bologna, Italy

    Ilaria Bartolini

  • IT University of Copenhagen, Copenhagen, Denmark

    Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh

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