Compression for quadratic similarity queries via shape-gain quantizers
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: 2014شناسه الکترونیک: 10.1109/ICCSP.2014.6950175
کلیدواژه(گان): femtocellular radio,game theory,interference suppression,learning (artificial intelligence),telecommunication computing,SINR,cross-tier interference,epsilon Nash equilibrium,femtocell self-organization,game theoretic approach,instantaneous performance,interference mitigation,low power base station,low-cost base station,macrocell performance,macrocell user equipment,minimum guaranteed signal to interference plus noise ratio,mobile operators,network capacity,reinforcement learni
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Compression for quadratic similarity queries via shape-gain quantizers
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| date accessioned | 2020-03-12T20:31:47Z | |
| date available | 2020-03-12T20:31:47Z | |
| date issued | 2014 | |
| identifier other | 6875352.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1017448 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Compression for quadratic similarity queries via shape-gain quantizers | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8141527 | |
| subject keywords | femtocellular radio | |
| subject keywords | game theory | |
| subject keywords | interference suppression | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | telecommunication computing | |
| subject keywords | SINR | |
| subject keywords | cross-tier interference | |
| subject keywords | epsilon Nash equilibrium | |
| subject keywords | femtocell self-organization | |
| subject keywords | game theoretic approach | |
| subject keywords | instantaneous performance | |
| subject keywords | interference mitigation | |
| subject keywords | low power base station | |
| subject keywords | low-cost base station | |
| subject keywords | macrocell performance | |
| subject keywords | macrocell user equipment | |
| subject keywords | minimum guaranteed signal to interference plus noise ratio | |
| subject keywords | mobile operators | |
| subject keywords | network capacity | |
| subject keywords | reinforcement learni | |
| identifier doi | 10.1109/ICCSP.2014.6950175 | |
| journal title | nformation Theory (ISIT), 2014 IEEE International Symposium on | |
| filesize | 680292 | |
| citations | 0 | |
| contributor rawauthor | Dempfle, S. , Steiner, F. , Ingber, A. , Weissman, T. |