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001450025 001__ 1450025
001450025 003__ OCoLC
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001450025 019__ $$a1346532476
001450025 020__ $$a9783031178498$$q(electronic bk.)
001450025 020__ $$a3031178491$$q(electronic bk.)
001450025 020__ $$z9783031178481
001450025 020__ $$z3031178483
001450025 0247_ $$a10.1007/978-3-031-17849-8$$2doi
001450025 035__ $$aSP(OCoLC)1346623024
001450025 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001450025 049__ $$aISEA
001450025 050_4 $$aZ667
001450025 08204 $$a025.04$$223/eng/20221005
001450025 1112_ $$aInternational Conference on Similarity Search and Applications$$n(15th :$$d2022 :$$cBologna, Italy ; Online)
001450025 24510 $$aSimilarity search and applications :$$b15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings /$$cTomáš Skopal, Fabrizio Falchi, Jakub Lokoč, Maria Luisa Sapino, Ilaria Bartolini, Marco Patella (eds.).
001450025 2463_ $$aSISAP 2022
001450025 264_1 $$aCham :$$bSpringer,$$c2022.
001450025 300__ $$a1 online resource (xi, 305 pages) :$$billustrations (some color).
001450025 336__ $$atext$$btxt$$2rdacontent
001450025 337__ $$acomputer$$bc$$2rdamedia
001450025 338__ $$aonline resource$$bcr$$2rdacarrier
001450025 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13590
001450025 500__ $$aIncludes author index.
001450025 5050_ $$aApplications -- 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.
001450025 506__ $$aAccess limited to authorized users.
001450025 520__ $$aThis 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.
001450025 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 3, 2022).
001450025 650_0 $$aInformation retrieval$$vCongresses.
001450025 650_0 $$aElectronic information resource searching$$vCongresses.
001450025 650_0 $$aData mining$$vCongresses.
001450025 650_0 $$aData structures (Computer science)$$vCongresses.
001450025 650_0 $$aMetric spaces$$vCongresses.
001450025 655_0 $$aElectronic books.
001450025 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001450025 7001_ $$aSkopal, Tomas,$$eeditor.$$1https://orcid.org/0000-0002-6591-0879
001450025 7001_ $$aFalchi, Fabrizio,$$eeditor.$$0(orcid)0000-0001-6258-5313$$1https://orcid.org/0000-0001-6258-5313
001450025 7001_ $$aLokoč, Jakub,$$eeditor.$$1https://orcid.org/0000-0002-3558-4144
001450025 7001_ $$aSapino, Maria Luisa,$$eeditor.$$1https://orcid.org/0000-0002-7621-3753
001450025 7001_ $$aBartolini, Ilaria,$$eeditor.$$0(orcid)0000-0002-8074-1129$$1https://orcid.org/0000-0002-8074-1129
001450025 7001_ $$aPatella, Marco,$$eeditor.$$0(orcid)0000-0003-2655-0759$$1https://orcid.org/0000-0003-2655-0759
001450025 77608 $$iPrint version: $$z3031178483$$z9783031178481$$w(OCoLC)1342983429
001450025 830_0 $$aLecture notes in computer science ;$$v13590.$$x1611-3349
001450025 852__ $$bebk
001450025 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17849-8$$zOnline Access$$91397441.1
001450025 909CO $$ooai:library.usi.edu:1450025$$pGLOBAL_SET
001450025 980__ $$aBIB
001450025 980__ $$aEBOOK
001450025 982__ $$aEbook
001450025 983__ $$aOnline
001450025 994__ $$a92$$bISE