000 | 05518nam a22006495i 4500 | ||
---|---|---|---|
001 | 978-3-031-46994-7 | ||
003 | DE-He213 | ||
005 | 20240207153737.0 | ||
007 | cr nn 008mamaa | ||
008 | 231026s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031469947 _9978-3-031-46994-7 |
||
050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUNH _2bicssc |
|
072 | 7 |
_aUND _2bicssc |
|
072 | 7 |
_aCOM030000 _2bisacsh |
|
072 | 7 |
_aUNH _2thema |
|
072 | 7 |
_aUND _2thema |
|
082 | 0 | 4 |
_a025.04 _223 |
245 | 1 | 0 |
_aSimilarity Search and Applications _h[electronic resource] : _b16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings / _cedited by Oscar Pedreira, Vladimir Estivill-Castro. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
|
300 |
_aXXI, 310 p. 103 illus., 92 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14289 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aKeynotes -- From Intrinsic Dimensionality to Chaos and Control: Towards a Unified Theoretical View -- The Rise of HNSW: Understanding Key Factors Driving the Adoption -- Towards a Universal Similarity Function: the Information Contrast Model and its Application as Evaluation Metric in Artificial Intelligence Tasks -- Research Track -- Finding HSP Neighbors via an Exact, Hierarchical Approach -- Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash -- Mutual nearest neighbor graph for data analysis: Application to metric space clustering -- An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search -- Unbiased Similarity Estimators using Samples -- Retrieve-and-Rank End-to-End Summarization of Biomedical Studies -- Fine-grained Categorization of Mobile Applications through Semantic Similarity Techniques for Apps Classification -- Runs of Side-Sharing Tandems in Rectangular Arrays -- Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions -- Class Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification -- The Dataset-similarity-based Approach to Select Datasets for Evaluation in Similarity Retrieval -- Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback -- Accelerating k-Means Clustering with Cover Trees -- Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality -- Minwise-Independent Permutations with Insertion and Deletion of Features -- SDOclust: Clustering with Sparse Data Observers -- Solving k-Closest Pairs in High-Dimensional Data using Locality- Sensitive Hashing -- Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval -- Similarity Search with Multiple-Object Queries -- Diversity Similarity Join for Big Data -- Indexing Challenge -- Overview of the SISAP 2023 Indexing Challenge -- Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, And Batch Extraction -- General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo -- SISAP 2023 Indexing Challenge - Learned Metric Index -- Computational Enhancements of HNSW Targeted to Very Large Datasets -- CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors. | |
520 | _aThis book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9-11, 2023. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aData mining. | |
650 | 0 | _aMachine learning. | |
650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
700 | 1 |
_aPedreira, Oscar. _eeditor. _0(orcid)0000-0001-6176-4475 _1https://orcid.org/0000-0001-6176-4475 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aEstivill-Castro, Vladimir. _eeditor. _0(orcid)0000-0001-7775-0780 _1https://orcid.org/0000-0001-7775-0780 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031469930 |
776 | 0 | 8 |
_iPrinted edition: _z9783031469954 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14289 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-46994-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cLIBRO_ELEC | ||
999 |
_c263108 _d263107 |