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Worker ranking determination in crowdsourcing platforms using aggregation functions

date accessioned2020-03-12T23:26:04Z
date available2020-03-12T23:26:04Z
date issued2014
identifier other6891807.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1111449?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleWorker ranking determination in crowdsourcing platforms using aggregation functions
typeConference Paper
contenttypeMetadata Only
identifier padid8280262
subject keywordsGabor filters
subject keywordsfeature extraction
subject keywordsgeophysical image processing
subject keywordshyperspectral imaging
subject keywordsimage classification
subject keywordsprincipal component analysis
subject keywordsremote sensing
subject keywordswavelet transforms
subject keywordsGabor filter
subject keywordsMSF-based approach
subject keywordsPCA
subject keywordscontrast
subject keywordscorrelation
subject keywordsdissimilarity
subject keywordsentropy
subject keywordshomogeneity
subject keywordshyperspectral image classification
subject keywordsmean
subject keywordsminimum spanning forest
subject keywordsprincipal component analysis
subject keywordssecond moment
subject keywordsspatial feature extraction
subject keywordsspectral feature
subject keywordsspectral-spatial classification
subject keywordsurban areas
subject keywordsvariance
subject keywordswavelet tra
identifier doi10.1109/IGARSS.2014.6947079
journal titleuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
filesize785853
citations0
contributor rawauthorSanchez-Charles, D. , Nin, J. , Sole, M. , Muntes-Mulero, V.


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