Reinforcement learning approaches and evaluation criteria for opportunistic spectrum access
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: 2014DOI: 10.1109/CIS.2014.56
Keyword(s): image denoising,image representation,image restoration,singular value decomposition,BM3D,K-SVD algorithm,LRSR,NLM,TDNL,denoising performance,image denoising model,low-rank dictionary,nonlocal patches,restoration quality,sparse representation,state-of-the-art denoising methods,Dictionaries,Image denoising,Image edge detection,Noise,Noise level,Noise reduction,Image denoising,Low-rank dictionary learning,Nonlocal similarity,Sparse representation
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Reinforcement learning approaches and evaluation criteria for opportunistic spectrum access
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| 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?locale-attribute=en | |
| 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 |