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Compression for quadratic similarity queries via shape-gain quantizers

date accessioned2020-03-12T20:31:47Z
date available2020-03-12T20:31:47Z
date issued2014
identifier other6875352.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1017448?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleCompression for quadratic similarity queries via shape-gain quantizers
typeConference Paper
contenttypeMetadata Only
identifier padid8141527
subject keywordsfemtocellular radio
subject keywordsgame theory
subject keywordsinterference suppression
subject keywordslearning (artificial intelligence)
subject keywordstelecommunication computing
subject keywordsSINR
subject keywordscross-tier interference
subject keywordsepsilon Nash equilibrium
subject keywordsfemtocell self-organization
subject keywordsgame theoretic approach
subject keywordsinstantaneous performance
subject keywordsinterference mitigation
subject keywordslow power base station
subject keywordslow-cost base station
subject keywordsmacrocell performance
subject keywordsmacrocell user equipment
subject keywordsminimum guaranteed signal to interference plus noise ratio
subject keywordsmobile operators
subject keywordsnetwork capacity
subject keywordsreinforcement learni
identifier doi10.1109/ICCSP.2014.6950175
journal titlenformation Theory (ISIT), 2014 IEEE International Symposium on
filesize680292
citations0
contributor rawauthorDempfle, S. , Steiner, F. , Ingber, A. , Weissman, T.


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