About: On Scalable Approximate Search with the Signature Quadratic Form Distance

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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 signature quadratic form distance and feature signatures have become a respected similarity space for effective content-based retrieval. Furthermore, the similarity space is configurable by a parameter alpha affecting both retrieval precision and intrinsic dimensionality, and thus interesting trade-offs can be achieved when a metric index is used for exact search. In this paper we combine such configurable model with state of the art approximate search techniques developed for the M-Index. In the experiments, we show that employing a configuration resulting in the best effectiveness of the measure leads also to very competitive approximate search effectiveness when using the M-Index, regardless the high intrinsic dimensionality of the corresponding similarity space. The signature quadratic form distance and feature signatures have become a respected similarity space for effective content-based retrieval. Furthermore, the similarity space is configurable by a parameter alpha affecting both retrieval precision and intrinsic dimensionality, and thus interesting trade-offs can be achieved when a metric index is used for exact search. In this paper we combine such configurable model with state of the art approximate search techniques developed for the M-Index. In the experiments, we show that employing a configuration resulting in the best effectiveness of the measure leads also to very competitive approximate search effectiveness when using the M-Index, regardless the high intrinsic dimensionality of the corresponding similarity space. (en)
Title	On Scalable Approximate Search with the Signature Quadratic Form Distance On Scalable Approximate Search with the Signature Quadratic Form Distance (en)
skos:prefLabel	On Scalable Approximate Search with the Signature Quadratic Form Distance On Scalable Approximate Search with the Signature Quadratic Form Distance (en)
skos:notation	RIV/00216208:11320/13:10192541!RIV14-GA0-11320___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP202/11/0968), P(GPP202/12/P297)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Lokoč, Jakub Skopal, Tomáš Grošup, Tomáš
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	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	93793
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/13:10192541
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	M-Index; Signature Quadratic Form Distance; Content-based Retrieval; Approximate Search; Similarity Search (en)
http://linked.open.../riv/klicoveSlovo	Similarity Search Approximate Search Content-based Retrieval M-Index Signature Quadratic Form Distance
http://linked.open...ontrolniKodProRIV	[B7EC4BD12693]
http://linked.open...v/mistoKonaniAkce	La Coruna, Spain
http://linked.open...i/riv/mistoVydani	Berlin Heidelberg Germany
http://linked.open...i/riv/nazevZdroje	6th International Conference, SISAP 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Large-scale Nonmetric Similarity Search in Complex Domains Synergické modelování adaptivních podobnostních měr pro potřeby multimediálního vyhledávání
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Lokoč, Jakub Skopal, Tomáš Grošup, Tomáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-10-02 (xsd:date)
issn	0302-9743
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-41062-8_31
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-41062-8
http://localhost/t...ganizacniJednotka	11320

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