Modified Radial Basis Functions Approximation Respecting Data Local Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43957988" target="_blank" >RIV/49777513:23520/19:43957988 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/Informatics47936.2019.9119330" target="_blank" >http://dx.doi.org/10.1109/Informatics47936.2019.9119330</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Informatics47936.2019.9119330" target="_blank" >10.1109/Informatics47936.2019.9119330</a>
Alternative languages
Result language
angličtina
Original language name
Modified Radial Basis Functions Approximation Respecting Data Local Features
Original language description
This paper presents new approaches for Radial basis function (RBF) approximation of 2D height data. The proposed approaches respect local properties of the input data, i.e. stationary points, inflection points, the curvature and other important features of the data. Positions of radial basis functions for RBF approximation are selected according to these features, as the placement of radial basis functions has significant impacts on the final approximation error. The proposed approaches were tested on several data sets. The tests proved significantly better approximation results than the standard RBF approximation with the random distribution of placements of radial basis functions.
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
<a href="/en/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless methods for large scattered spatio-temporal vector data visualization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
2019 IEEE 15th International Scientific Conference on Informatics
ISBN
978-1-72813-181-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
445-449
Publisher name
IEEE
Place of publication
Piscataway
Event location
Poprad
Event date
Nov 20, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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