Similarity Search and Applications [electronic resource] : 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 11807Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XIX, 364 p. 116 illus., 95 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030320478

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:

Click here to access online

Contents:

Similarity Search and Retrieval -- The Curse of Dimensionality -- Clustering and Outlier Detection -- Subspaces and Embeddings -- Applications -- Doctoral Symposium Papers. .

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections named: Similarity Search and Retrieval; The Curse of Dimensionality; Clustering and Outlier Detection; Subspaces and Embeddings; Applications; Doctoral Symposium Papers.

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Similarity Search and Retrieval -- The Curse of Dimensionality -- Clustering and Outlier Detection -- Subspaces and Embeddings -- Applications -- Doctoral Symposium Papers. .

This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections named: Similarity Search and Retrieval; The Curse of Dimensionality; Clustering and Outlier Detection; Subspaces and Embeddings; Applications; Doctoral Symposium Papers.

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