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Gaussian mixture models improve fMRI-based image reconstruction

contributor authorSchoenmakers, S. , van Gerven, M. , Heskes, T.
date accessioned2020-03-12T20:13:31Z
date available2020-03-12T20:13:31Z
date issued2014
identifier other6858542.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1006551?show=full
formatgeneral
languageEnglish
publisherIEEE
titleGaussian mixture models improve fMRI-based image reconstruction
typeConference Paper
contenttypeMetadata Only
identifier padid8128101
subject keywordsBase stations
subject keywordsData models
subject keywordsInterference
subject keywordsMeasurement
subject keywordsMobile communication
subject keywordsMobile computing
subject keywordsPower demand
subject keywordsdata offloading
subject keywordsenergy effi-ciency
subject keywordsheterogeneous network
subject keywordssmall cell
subject keywordswireless network optimization
identifier doi10.1109/ICCS.2014.7024777
journal titleattern Recognition in Neuroimaging, 2014 International Workshop on
filesize1020396
citations0


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