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Reinforcement learning approaches and evaluation criteria for opportunistic spectrum access

contributor authorRobert, C. , Moy, C. , Cheng-Xiang Wang
date accessioned2020-03-12T20:40:48Z
date available2020-03-12T20:40:48Z
date issued2014
identifier other6883535.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1021647?show=full
formatgeneral
languageEnglish
publisherIEEE
titleReinforcement learning approaches and evaluation criteria for opportunistic spectrum access
typeConference Paper
contenttypeMetadata Only
identifier padid8146336
subject keywordsimage denoising
subject keywordsimage representation
subject keywordsimage restoration
subject keywordssingular value decomposition
subject keywordsBM3D
subject keywordsK-SVD algorithm
subject keywordsLRSR
subject keywordsNLM
subject keywordsTDNL
subject keywordsdenoising performance
subject keywordsimage denoising model
subject keywordslow-rank dictionary
subject keywordsnonlocal patches
subject keywordsrestoration quality
subject keywordssparse representation
subject keywordsstate-of-the-art denoising methods
subject keywordsDictionaries
subject keywordsImage denoising
subject keywordsImage edge detection
subject keywordsNoise
subject keywordsNoise level
subject keywordsNoise reduction
subject keywordsImage denoising
subject keywordsLow-rank dictionary learning
subject keywordsNonlocal similarity
subject keywordsSparse representation
identifier doi10.1109/CIS.2014.56
journal titleommunications (ICC), 2014 IEEE International Conference on
filesize1018692
citations0


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