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Robust mixed noise removal with non-parametric Bayesian sparse outlier model

contributor authorZhuang, Peixian
contributor authorWang, Wei
contributor authorZeng, Delu
contributor authorDing, Xinghao
date accessioned2020-03-12T21:47:54Z
date available2020-03-12T21:47:54Z
date issued2014
identifier other6958792.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1060844?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRobust mixed noise removal with non-parametric Bayesian sparse outlier model
typeConference Paper
contenttypeMetadata Only
identifier padid8192487
subject keywordsDigital Divide
subject keywordsn decision making
subject keywordsn government data processing
subject keywordsn information technology
subject keywordsn politics
subject keywordsn Global North
subject keywordsn Global South
subject keywordsn Latin America
subject keywordsn United States and Organisation for Economic Cooperation and Development
subject keywordsn administrative process improvement
subject keywordsn citizen political participation
subject keywordsn democratic governance
subject keywordsn digital divide
subject keywordsn digital technologies
subject keywordsn free government data access
subject keywordsn government accountability
subject keywordsn government transparency
subject keywordsn independen
identifier doi10.1109/ICEDEG.2014.6819927
journal titleultimedia Signal Processing (MMSP), 2014 IEEE 16th International Workshop on
filesize714310
citations0


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