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VigneronAntoine

Vigneron, Antoine
Geometric Algorithms Lab.
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dc.citation.startPage 102150 -
dc.citation.title COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS -
dc.citation.volume 126 -
dc.contributor.author Park, Eunku -
dc.contributor.author Vigneron, Antoine -
dc.date.accessioned 2024-11-18T15:05:06Z -
dc.date.available 2024-11-18T15:05:06Z -
dc.date.created 2024-11-18 -
dc.date.issued 2025-03 -
dc.description.abstract We give an embedding of the Poincaré halfspace HD into a discrete metric space based on a binary tiling of HD, with additive distortion O(log⁡D). It yields the following results. We show that any subset P of n points in HD can be embedded into a graph-metric with 2O(D)n vertices and edges, and with additive distortion O(log⁡D). We also show how to construct, for any k, an O(klog⁡D)-purely additive spanner of P with 2O(D)n Steiner vertices and 2O(D)n⋅λk(n) edges, where λk(n) is the kth-row inverse Ackermann function. Finally, we show how to construct an approximate Voronoi diagram for P of size 2O(D)n. It allows us to answer approximate near-neighbor queries in 2O(D)+O(Dlog⁡n) time, with additive error O(log⁡D). These constructions can be done in 2O(D)nlog⁡n time. © 2024 Elsevier B.V. -
dc.identifier.bibliographicCitation COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, v.126, pp.102150 -
dc.identifier.doi 10.1016/j.comgeo.2024.102150 -
dc.identifier.issn 0925-7721 -
dc.identifier.scopusid 2-s2.0-85208171859 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/84461 -
dc.identifier.wosid 001355041300001 -
dc.language 영어 -
dc.publisher Elsevier B.V. -
dc.title Embeddings and near-neighbor searching with constant additive error for hyperbolic spaces -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Embedding -
dc.subject.keywordAuthor Hyperbolic geometry -
dc.subject.keywordAuthor Near-neighbor searching -
dc.subject.keywordAuthor Spanner -

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