Approximate search in dissimilarity spaces using GA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00333570" target="_blank" >RIV/68407700:21240/19:00333570 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/19:10407738
Result on the web
<a href="http://dx.doi.org/10.1145/3319619.3321907" target="_blank" >http://dx.doi.org/10.1145/3319619.3321907</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3319619.3321907" target="_blank" >10.1145/3319619.3321907</a>
Alternative languages
Result language
angličtina
Original language name
Approximate search in dissimilarity spaces using GA
Original language description
Nowadays, the metric space properties limit the methods of indexing for content-based similarity search. The target of this paper is a data-driven transformation of a semimetric model to a metric one while keeping the data indexability high. We have proposed a genetic algorithm for evolutionary design of semimetric-to-metric modifiers. The precision of our algorithm is near the specified error threshold and indexability is still good. The paper contribution is a proof of concept showing that genetic algorithms can effectively design semimetric modifiers applicable in similarity search engines.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-6748-6
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
279-280
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Praha
Event date
Jul 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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