A new simple, fast and robust total least square error computation in E2: Experimental comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955677" target="_blank" >RIV/49777513:23520/19:43955677 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-14907-9_32" target="_blank" >http://dx.doi.org/10.1007/978-3-030-14907-9_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14907-9_32" target="_blank" >10.1007/978-3-030-14907-9_32</a>
Alternative languages
Result language
angličtina
Original language name
A new simple, fast and robust total least square error computation in E2: Experimental comparison
Original language description
Many problems, not only in signal processing, image processing, digital imaging, computer vision and visualization, lead to the Least Square Error (LSE) problem or Total (Orthogonal) Least Square Error (TLSE) problem computation. Usually the standard least square error approximation method is used due to its simplicity, but it is not an optimal solution, as it does not optimize the orthogonal distances, but only the vertical distances. There are many problems for which the LSE is not convenient and the TLSE is to be used. Unfortunately, the TLSE is computationally much more expensive. This paper presents a new, simple, robust and fast algorithm for the total least square error computation in E2.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
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
AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application
ISBN
978-3-030-14906-2
ISSN
1876-1100
e-ISSN
—
Number of pages
10
Pages from-to
325-334
Publisher name
Springer
Place of publication
Cham
Event location
Ostrava
Event date
Sep 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—