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Similarity Search and Applications : 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings / edited by Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Satoh, Shin'ichi, Editor.
Vadicamo, Lucia., Editor.
Zimek, Arthur., Editor.
Carrara, Fabio., Editor.
Bartolini, Ilaria., Editor.
Aumüller, Martin., Editor.
Björn Þór Jónsson, Editor.
Pagh, Rasmus., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12440
Information Systems and Applications, incl. Internet/Web, and HCI ; 12440
Language:
English
Subjects (All):
Information storage and retrieval systems.
Artificial intelligence.
Application software.
Database management.
Data mining.
Computer science-Mathematics.
Information Storage and Retrieval.
Artificial Intelligence.
Computer and Information Systems Applications.
Database Management.
Data Mining and Knowledge Discovery.
Mathematics of Computing.
Local Subjects:
Information Storage and Retrieval.
Artificial Intelligence.
Computer and Information Systems Applications.
Database Management.
Data Mining and Knowledge Discovery.
Mathematics of Computing.
Physical Description:
1 online resource (XIX, 414 pages) : 210 illustrations, 104 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
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.
Contents:
Scalable Similarity Search
Accelerating Metric Filtering by Improving Bounds on Estimated Distances
Differentially Private Sketches for Jaccard Similarity Estimation
Pivot Selection for Narrow Sketches by Optimization Algorithms
mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data
Parallelizing Filter-Verification based Exact Set Similarity Joins on Multicores
Similarity Search with Tensor Core Units
On the Problem of p1 in Locality-Sensitive Hashing
Similarity Measures, Search, and Indexing
Confirmation Sampling for Exact Nearest Neighbor Search
Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem
Metrics and Ambits and Sprawls, Oh My: Another Tutorial on Metric Indexing
Some branches may bear rotten fruits: Diversity browsing VP-Trees
Continuous Similarity Search for Evolving Database
Taking advantage of highly-correlated attributes in similarity queries with missing values
Similarity Between Points in Metric Measure Spaces
High-dimensional Data and Intrinsic Dimensionality
GTT: Guiding the Tensor Train Decomposition
Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data
ABID: Angle Based Intrinsic Dimensionality
Sampled Angles in High-Dimensional Spaces
Local Intrinsic Dimensionality III: Density and Similarity
Analysing Indexability of Intrinsically High-dimensional Data using TriGen
Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension
Clustering
BETULA: Numerically Stable CF-Trees for BIRCH Clustering
Using a Set of Triangle Inequalities to Accelerate K-means Clustering
Angle-Based Clustering
Artificial Intelligence and Similarity
Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors
SIR: Similar Image Retrieval for Product Search in E-Commerce
Cross-Resolution deep features based Image Search
Learning Distance Estimators from Pivoted Embeddings of Metric Objects
Demo and Position Papers
Visualizer of Dataset Similarity using Knowledge Graph
vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search
Running experiments with confidence and sanity
Doctoral Symposium
Temporal Similarity of Trajectories in Graphs
Relational Visual-Textual Information Retrieval.
Other Format:
Printed edition:
ISBN:
978-3-030-60936-8
9783030609368
Access Restriction:
Restricted for use by site license.

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