When and by how much can helper node selection improve regenerating codes?
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Year
: 2014DOI: 10.1109/CVPR.2014.41
Keyword(s): Clustering algorithms,n Computer vision,n Convergence,n Eigenvalues and eigenfunctions,n Matrix decomposition,n Optimization,n Robustness
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When and by how much can helper node selection improve regenerating codes?
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contributor author | Ahmad, Imad | |
contributor author | Wang, Chih-Chun | |
date accessioned | 2020-03-12T22:53:41Z | |
date available | 2020-03-12T22:53:41Z | |
date issued | 2014 | |
identifier other | 7028491.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1098268?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | When and by how much can helper node selection improve regenerating codes? | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8239409 | |
subject keywords | Clustering algorithms | |
subject keywords | n Computer vision | |
subject keywords | n Convergence | |
subject keywords | n Eigenvalues and eigenfunctions | |
subject keywords | n Matrix decomposition | |
subject keywords | n Optimization | |
subject keywords | n Robustness | |
identifier doi | 10.1109/CVPR.2014.41 | |
journal title | ommunication, Control, and Computing (Allerton), 2014 52nd Annual Allerton Conference on | |
filesize | 599226 | |
citations | 0 |