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“Clustering by saliency” — Unsupervised discovery of crowd activities

contributor authorHan, Tingting
contributor authorYao, Hongxun
contributor authorSun, Xiaoshuai
contributor authorZhang, Yanhao
date accessioned2020-03-12T22:49:53Z
date available2020-03-12T22:49:53Z
date issued2014
identifier other7025484.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1096055?show=full
formatgeneral
languageEnglish
publisherIEEE
title“Clustering by saliency” — Unsupervised discovery of crowd activities
typeConference Paper
contenttypeMetadata Only
identifier padid8236497
subject keywordsmobile radio
subject keywordsn radio spectrum management
subject keywordsn telecommunication power management
subject keywordsn 5G technology
subject keywordsn energy consumption
subject keywordsn fifth generation networks
subject keywordsn optimum spectrum allocation
subject keywordsn Antenna arrays
subject keywordsn Arrays
subject keywordsn MIMO
subject keywordsn Mobile communication
subject keywordsn Optical fiber cables
subject keywordsn Optical fibers
subject keywordsn 5G technology
subject keywordsn Distributed Antenna System (DAS)
subject keywordsn fiber fed system and spectral efficiency
subject keywordsn massive MIMO
identifier doi10.1109/CNSC.2014.6906653
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize959123
citations0


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