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Similarity Search and Applications = 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Similarity Search and Applications/ edited by Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh.
其他題名:
13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings /
其他作者:
Pagh, Rasmus.
面頁冊數:
XIX, 414 p. 210 illus., 104 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Mathematics of Computing. -
電子資源:
https://doi.org/10.1007/978-3-030-60936-8
ISBN:
9783030609368
Similarity Search and Applications = 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings /
Similarity Search and Applications
13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings /[electronic resource] :edited by Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh. - 1st ed. 2020. - XIX, 414 p. 210 illus., 104 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12440. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.
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.
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.
ISBN: 9783030609368
Standard No.: 10.1007/978-3-030-60936-8doiSubjects--Topical Terms:
669457
Mathematics of Computing.
LC Class. No.: QA75.5-76.95
Dewey Class. No.: 025.04
Similarity Search and Applications = 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings /
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