000 | 06424nam a22007215i 4500 | ||
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001 | 978-3-030-60936-8 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 201014s2020 sz | s |||| 0|eng d | ||
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_a10.1007/978-3-030-60936-8 _2doi |
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_aSimilarity Search and Applications _h[electronic resource] : _b13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings / _cedited by Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aXIX, 414 p. 210 illus., 104 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12440 |
|
505 | 0 | _aScalable 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 -- LearningDistance 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. | |
520 | _aThis 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. | ||
650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aApplication software. _9117467 |
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650 | 0 |
_aDatabase management. _93157 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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650 | 1 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9117468 |
650 | 2 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9117469 |
650 | 2 | 4 |
_aMathematics of Computing. _931875 |
700 | 1 |
_aSatoh, Shin'ichi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117470 |
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700 | 1 |
_aVadicamo, Lucia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117471 |
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700 | 1 |
_aZimek, Arthur. _eeditor. _0(orcid) _10000-0001-7713-4208 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117472 |
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700 | 1 |
_aCarrara, Fabio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117473 |
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700 | 1 |
_aBartolini, Ilaria. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117474 |
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700 | 1 |
_aAumüller, Martin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117475 |
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700 | 1 |
_aJónsson, Björn Þór. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117476 |
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700 | 1 |
_aPagh, Rasmus. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9117477 |
|
710 | 2 |
_aSpringerLink (Online service) _9117478 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030609351 |
776 | 0 | 8 |
_iPrinted edition: _z9783030609375 |
830 | 0 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12440 _9117479 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-60936-8 |
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