Comparison of self-adaptive particle swarm optimizers
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سال
: 2014شناسه الکترونیک: 10.1109/ICME.2014.6890198
کلیدواژه(گان): ISO standards,n cameras,n image denoising,n image restoration,n NLF,n auto-denoising algorithm,n blind restoration,n cameras,n image denoising,n image prior,n latent image estimation,n low-rank based modeling,n low-rank methods,n noise estimation,n noise level function estimation,n noise variance estimation,n signal-dependent noise,n singular-value thresholding technique,n spatially inhomogeneous noise,n threshold-regularization parameter
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Comparison of self-adaptive particle swarm optimizers
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contributor author | van Zyl, E. | |
contributor author | Engelbrecht, A. | |
date accessioned | 2020-03-12T22:29:00Z | |
date available | 2020-03-12T22:29:00Z | |
date issued | 2014 | |
identifier other | 7011775.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1084561?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Comparison of self-adaptive particle swarm optimizers | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8221851 | |
subject keywords | ISO standards | |
subject keywords | n cameras | |
subject keywords | n image denoising | |
subject keywords | n image restoration | |
subject keywords | n NLF | |
subject keywords | n auto-denoising algorithm | |
subject keywords | n blind restoration | |
subject keywords | n cameras | |
subject keywords | n image denoising | |
subject keywords | n image prior | |
subject keywords | n latent image estimation | |
subject keywords | n low-rank based modeling | |
subject keywords | n low-rank methods | |
subject keywords | n noise estimation | |
subject keywords | n noise level function estimation | |
subject keywords | n noise variance estimation | |
subject keywords | n signal-dependent noise | |
subject keywords | n singular-value thresholding technique | |
subject keywords | n spatially inhomogeneous noise | |
subject keywords | n threshold-regularization parameter | |
identifier doi | 10.1109/ICME.2014.6890198 | |
journal title | warm Intelligence (SIS), 2014 IEEE Symposium on | |
filesize | 368220 | |
citations | 0 |