Guided Acoustic-Wave Brillouin Scattering Characteristics of Few-Mode Fiber
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: 2014DOI: 10.1109/ICPR.2014.667
Keyword(s): graph theory,image classification,learning (artificial intelligence),collective activities classification,comparative analysis,graph nodes,kernel function,machine learning,multiclass classifier training,pair-wise constraints,spectral graph kernel,Accuracy,Context,Kernel,Support vector machines,Training,Vectors,Visualization
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Guided Acoustic-Wave Brillouin Scattering Characteristics of Few-Mode Fiber
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| contributor author | Matsui, T. , Nakajima, K. , Yamamoto, F. | |
| date accessioned | 2020-03-12T23:38:46Z | |
| date available | 2020-03-12T23:38:46Z | |
| date issued | 2014 | |
| identifier other | 6903051.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1119148?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Guided Acoustic-Wave Brillouin Scattering Characteristics of Few-Mode Fiber | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8289113 | |
| subject keywords | graph theory | |
| subject keywords | image classification | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | collective activities classification | |
| subject keywords | comparative analysis | |
| subject keywords | graph nodes | |
| subject keywords | kernel function | |
| subject keywords | machine learning | |
| subject keywords | multiclass classifier training | |
| subject keywords | pair-wise constraints | |
| subject keywords | spectral graph kernel | |
| subject keywords | Accuracy | |
| subject keywords | Context | |
| subject keywords | Kernel | |
| subject keywords | Support vector machines | |
| subject keywords | Training | |
| subject keywords | Vectors | |
| subject keywords | Visualization | |
| identifier doi | 10.1109/ICPR.2014.667 | |
| journal title | hotonics Society Summer Topical Meeting Series, 2014 IEEE | |
| filesize | 1225650 | |
| citations | 0 |