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Similarity Search and Applications [electronic resource] : 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 – October 1, 2021, Proceedings /

Contributor(s): Material type: TextTextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 13058Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XIII, 410 p. 118 illus., 89 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030896577
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 025.04 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
Similarity Search and Retrieval -- Intrinsic Dimensionality -- Clustering and Classification -- Applications of Similarity Search -- Similarity Search in Graph-Structured Data -- Doctoral Symposium.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 14th International Conference on Similarity Search and Applications, SISAP 2021, held in Dortmund, Germany, in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 23 full papers presented together with 5 short and 3 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in the topical sections named: Similarity Search and Retrieval; Intrinsic Dimensionality; Clustering and Classification; Applications of Similarity Search; Similarity Search in Graph-Structured Data; Doctoral Symposium.
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Similarity Search and Retrieval -- Intrinsic Dimensionality -- Clustering and Classification -- Applications of Similarity Search -- Similarity Search in Graph-Structured Data -- Doctoral Symposium.

This book constitutes the refereed proceedings of the 14th International Conference on Similarity Search and Applications, SISAP 2021, held in Dortmund, Germany, in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 23 full papers presented together with 5 short and 3 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in the topical sections named: Similarity Search and Retrieval; Intrinsic Dimensionality; Clustering and Classification; Applications of Similarity Search; Similarity Search in Graph-Structured Data; Doctoral Symposium.

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