Components in Data Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10080065" target="_blank" >RIV/00216208:11320/10:10080065 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Components in Data Analysis
Original language description
In signal and image processing, real data is often built by signals from multiple sources. A crucial task is thus to decompose the data into individual components, ideally the same components that originally formed the data. Good data decomposition methods can aid in classification, recognition and understanding the data. However, we obviously have to choose a compromise between good precision and low computational costs of the algorithm. In this paper, we present a survey of existing approaches and techniques applicable to the problem of decomposing image and other data, together with ways in which they can be effectively used.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 19th Annual Conference of Doctoral Students - WDS 2010
ISBN
978-80-7378-139-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
MATFYZPRESS, Prague
Place of publication
Prague
Event location
Praha
Event date
Jun 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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