MÍČ, Vladimír, David NOVÁK and Pavel ZEZULA. Improving Sketches for Similarity Search. Online. In Jan Kofron and Tomas Vojnar. Tenth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'15). Telc: LITERA, 2015. p. 45-57. ISBN 978-80-214-5254-1. [citováno 2024-04-24]
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Basic information
Original name Improving Sketches for Similarity Search
Authors MÍČ, Vladimír (203 Czech Republic, belonging to the institution), David NOVÁK (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, guarantor, belonging to the institution)
Edition Telc, Tenth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'15), p. 45-57, 13 pp. 2015.
Publisher LITERA
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/15:00081200
Organization unit Faculty of Informatics
ISBN 978-80-214-5254-1
Keywords in English similarity search;sketch;effectiveness;efficiency;compression;big datasets;scalability
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Vladimír Míč, Ph.D., učo 359890. Changed: 18/11/2015 12:30.
Abstract
We formulate desirable properties of sketches with respect to its usage in a similarity search. These properties are evaluated and the overall gain in a search quality is showed.
Abstract (in Czech)
Prace se zabyva tzv. sketches. Sketch je bitova reprezentace objektu reprezentujici jeho relativni polohu v prostoru. V praci navrhujeme definici vlastnosti sketchu, ktere maji zlepsit jejich vyuziti v podobnostnim vyhledavani. Tyto vlastnosti testujeme a potvrzujeme zvyseni­ kvality vyhledavani pri jejich splneni.
Links
GBP103/12/G084, research and development projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
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