Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials
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Year
: 2014DOI: 10.1109/ICPR.2014.428
Keyword(s): graph theory,learning (artificial intelligence),collective inference,good classification accuracy,graph construction,graph-based algorithms,quadratic time complexity,semi-supervised learning techniques,tabular data,weighted graph,Accuracy,Complex networks,Complexity theory,Inference algorithms,Joining processes,Laplace equations,Symmetric matrices,complex network,graph construction,semi-supervised learning classification
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Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials
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| contributor author | Melnikov, L.A. , Ryabinina, M.V. , Nefedov, I.S. | |
| date accessioned | 2020-03-12T20:44:07Z | |
| date available | 2020-03-12T20:44:07Z | |
| date issued | 2014 | |
| identifier other | 6886413.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1023555 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8148391 | |
| subject keywords | graph theory | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | collective inference | |
| subject keywords | good classification accuracy | |
| subject keywords | graph construction | |
| subject keywords | graph-based algorithms | |
| subject keywords | quadratic time complexity | |
| subject keywords | semi-supervised learning techniques | |
| subject keywords | tabular data | |
| subject keywords | weighted graph | |
| subject keywords | Accuracy | |
| subject keywords | Complex networks | |
| subject keywords | Complexity theory | |
| subject keywords | Inference algorithms | |
| subject keywords | Joining processes | |
| subject keywords | Laplace equations | |
| subject keywords | Symmetric matrices | |
| subject keywords | complex network | |
| subject keywords | graph construction | |
| subject keywords | semi-supervised learning classification | |
| identifier doi | 10.1109/ICPR.2014.428 | |
| journal title | aser Optics, 2014 International Conference | |
| filesize | 95988 | |
| citations | 0 |