Similarity Search and Applications (Record no. 186708)

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001 - CONTROL NUMBER
control field 978-3-031-17849-8
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130246.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031178498
-- 978-3-031-17849-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-17849-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UNH
Source bicssc
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Subject category code UND
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Subject category code COM030000
Source bisacsh
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Subject category code UNH
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code UND
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 025.04
Edition number 23
245 10 - TITLE STATEMENT
Title Similarity Search and Applications
Medium [electronic resource] :
Remainder of title 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings /
Statement of responsibility, etc edited by Tomáš Skopal, Fabrizio Falchi, Jakub Lokoč, Maria Luisa Sapino, Ilaria Bartolini, Marco Patella.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 305 p. 97 illus., 84 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 13590
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Applications -- Numerical Data Imputation: Choose KNN over Deep Learning -- COSINER: COntext SImilarity data augmentation for Named Entity Recognition -- An Application of Learned Multi-Modal Product Similarity to e-Commerce -- Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval -- Stable Anchors for Matching Unlabelled Point Clouds -- Visual Exploration of Human Motion Data -- Foundations -- On Projections to Linear Subspaces -- Concept of Relational Similarity Search -- On the Expected Exclusion Power of Binary Partitions for Metric Search -- Similarity Search with the Distance Density Model -- Generalized Relative Neighborhood Graph (GRNG) for Similarity Search -- A Ptolemaic Partitioning Mechanism -- HubHSP graph: effective data sampling for pivot-based representation strategies -- Indexing and Clustering -- Compacted search tree for graph edit distance computation -- Clustering by Direct Optimization of the Medoid Silhouette -- Automatic Indexing for Similarity Search in ELKI -- Approximate Nearest Neighbor Search on Standard Search Engines -- Evaluation of LID-Aware Graph Embedding Methods for Node Clustering -- Similarity-based Unsupervised Evaluation of Outlier Detection -- Learning -- FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level -- Causal Disentanglement with Network Information for Debiased Recommendations -- Causal Disentanglement with Network Information for Debiased Recommendations -- Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents -- Doctoral Symposium -- Discovering Knowledge Graphs Via Attention-Driven Graph Generation -- Visual Recommendation and Visual Search for Fashion e-commerce.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the 15th International Conference on Similarity Search and Applications, SISAP 2022, held in Bologna, Italy in October 2022. SISAP 2022 is an annual international conference for researchers focusing on similarity search challenges and related theoretical/practical problems, as well as the design of content-based similarity search applications. The 15 full papers presented together with 8 short and 2 doctoral symposium papers were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: Applications; Foundations; Indexing and Clustering; Learning; Doctoral Symposium.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information storage and retrieval systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Storage and Retrieval.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Skopal, Tomáš.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Falchi, Fabrizio.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lokoč, Jakub.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sapino, Maria Luisa.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bartolini, Ilaria.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Patella, Marco.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031178481
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031178504
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 13590
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-17849-8">https://doi.org/10.1007/978-3-031-17849-8</a>
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Koha item type eBooks-CSE-Springer

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