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LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data

contributor authorLi, Kang
contributor authorGao, Jing
contributor authorGuo, Suxin
contributor authorDu, Nan
contributor authorLi, Xiaoyi
contributor authorZhang, Aidong
date accessioned2020-03-12T22:46:38Z
date available2020-03-12T22:46:38Z
date issued2014
identifier other7023347.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1094204?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleLRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data
typeConference Paper
contenttypeMetadata Only
identifier padid8233899
subject keywordsimage colour analysis
subject keywordsn Riesz potential
subject keywordsn digital color image sharpening algorithm
subject keywordsn gray-level imaging
subject keywordsn Color
subject keywordsn Digital images
subject keywordsn Equations
subject keywordsn Fourier transforms
subject keywordsn Fractional calculus
subject keywordsn Image color analysis
subject keywordsn Laplace equations
identifier doi10.1109/ICCE-TW.2014.6904060
journal titleata Mining (ICDM), 2014 IEEE International Conference on
filesize400350
citations0


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