contributor author | Robert, C. , Moy, C. , Cheng-Xiang Wang | |
date accessioned | 2020-03-12T20:40:48Z | |
date available | 2020-03-12T20:40:48Z | |
date issued | 2014 | |
identifier other | 6883535.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1021647?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Reinforcement learning approaches and evaluation criteria for opportunistic spectrum access | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8146336 | |
subject keywords | image denoising | |
subject keywords | image representation | |
subject keywords | image restoration | |
subject keywords | singular value decomposition | |
subject keywords | BM3D | |
subject keywords | K-SVD algorithm | |
subject keywords | LRSR | |
subject keywords | NLM | |
subject keywords | TDNL | |
subject keywords | denoising performance | |
subject keywords | image denoising model | |
subject keywords | low-rank dictionary | |
subject keywords | nonlocal patches | |
subject keywords | restoration quality | |
subject keywords | sparse representation | |
subject keywords | state-of-the-art denoising methods | |
subject keywords | Dictionaries | |
subject keywords | Image denoising | |
subject keywords | Image edge detection | |
subject keywords | Noise | |
subject keywords | Noise level | |
subject keywords | Noise reduction | |
subject keywords | Image denoising | |
subject keywords | Low-rank dictionary learning | |
subject keywords | Nonlocal similarity | |
subject keywords | Sparse representation | |
identifier doi | 10.1109/CIS.2014.56 | |
journal title | ommunications (ICC), 2014 IEEE International Conference on | |
filesize | 1018692 | |
citations | 0 | |