About: On Locality-sensitive Indexing in Generic Metric Spaces

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The concept of Locality-sensitive Hashing (LSH) has been successfully used for searching in high-dimensional data and a number of locality-preserving hash functions have been introduced. In order to extend the applicability of the LSH approach to a general metric space, we focus on a recently presented Metric Index (M-Index), we redefine its hashing and searching process in the terms of LSH, and perform extensive measurements on two datasets to verify that the M-Index fulfills the conditions of the LSH concept. We widely discuss %22optimal%22 properties of LSH functions and the efficiency of a given LSH function with respect to kNN queries. The results also indicate that the M-Index hashing and searching is more efficient than the tested standard LSH approach for Euclidean distance. The concept of Locality-sensitive Hashing (LSH) has been successfully used for searching in high-dimensional data and a number of locality-preserving hash functions have been introduced. In order to extend the applicability of the LSH approach to a general metric space, we focus on a recently presented Metric Index (M-Index), we redefine its hashing and searching process in the terms of LSH, and perform extensive measurements on two datasets to verify that the M-Index fulfills the conditions of the LSH concept. We widely discuss %22optimal%22 properties of LSH functions and the efficiency of a given LSH function with respect to kNN queries. The results also indicate that the M-Index hashing and searching is more efficient than the tested standard LSH approach for Euclidean distance. (en)
Title	On Locality-sensitive Indexing in Generic Metric Spaces On Locality-sensitive Indexing in Generic Metric Spaces (en)
skos:prefLabel	On Locality-sensitive Indexing in Generic Metric Spaces On Locality-sensitive Indexing in Generic Metric Spaces (en)
skos:notation	RIV/00216224:14330/10:00044857!RIV11-GA0-14330___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(1M0545), P(GA201/09/0683), P(GAP103/10/0886), P(GPP202/10/P220), S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zezula, Pavel Novák, David
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	276741
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/10:00044857
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	locality-sensitive hashing; metric space; similarity search; approximation; scalability (en)
http://linked.open.../riv/klicoveSlovo	similarity search metric space locality-sensitive hashing approximation scalability
http://linked.open...ontrolniKodProRIV	[ACF33C77646B]
http://linked.open...v/mistoKonaniAkce	Istanbul, Turkey
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	3rd International Conference on Similarity Search and Applications
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Similarity searching in very large multimedia databases Content-based Image Retrieval on the Web Scale Efficient Similarity Search with Constant Scalability Institute for Theoretical Computer Science
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Novák, David Zezula, Pavel Kyselák, Martin
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-09-18 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ACM Press
https://schema.org/isbn	978-1-4503-0420-7
http://localhost/t...ganizacniJednotka	14330

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