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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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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

Keywords

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.

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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