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Learning associate appearance manifolds for cross-pose face recognition

contributor authorChen, Xue
contributor authorWang, Chunheng
contributor authorXiao, Baihua
contributor authorCai, Xinyuan
date accessioned2020-03-12T22:49:40Z
date available2020-03-12T22:49:40Z
date issued2014
identifier other7025382.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1095944?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning associate appearance manifolds for cross-pose face recognition
typeConference Paper
contenttypeMetadata Only
identifier padid8236330
subject keywordsMIMO communication
subject keywordsn channel estimation
subject keywordsn error statistics
subject keywordsn precoding
subject keywordsn satellite communication
subject keywordsn BER performance
subject keywordsn FIR channel estimation
subject keywordsn estimation error MSE
subject keywordsn land mobile satellite channel
subject keywordsn linear precoding
subject keywordsn linear prediction
subject keywordsn on-ground terminals
subject keywordsn satellite communication
subject keywordsn spatial correlation property
subject keywordsn temporal correlation property
subject keywordsn terrestrial MIMO technology
subject keywordsn Channel estimation
subject keywordsn Channel models
subject keywordsn Correlation
subject keywordsn Finite impulse
identifier doi10.1109/IWCMC.2014.6906492
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize313062
citations0


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