Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis
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: 2014شناسه الکترونیک: 10.1109/MSP.2014.2329429
کلیدواژه(گان): Big Data,scientific information systems,tensors,Big Data analysis,CS methods,compressed sensing,computational requirements,curse of dimensionality,data sets,exponential dependency,higher-order tensors,incomplete tensors decompositions,memory requirements,multilinear models,tensor problems,tensor-based scientific computing,Approximation algorithms,Approximation methods,Big data,Data storage,Matrix decomposition,Scientific computing,Signal processing algorithms,Tensile stres
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Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis
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| contributor author | Vervliet, Nico | |
| contributor author | Debals, Otto | |
| contributor author | Sorber, Laurent | |
| contributor author | De Lathauwer, Lieven | |
| date accessioned | 2020-03-13T00:18:59Z | |
| date available | 2020-03-13T00:18:59Z | |
| date issued | 2014 | |
| identifier issn | 1053-5888 | |
| identifier other | 6879619.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1142219 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8324723 | |
| subject keywords | Big Data | |
| subject keywords | scientific information systems | |
| subject keywords | tensors | |
| subject keywords | Big Data analysis | |
| subject keywords | CS methods | |
| subject keywords | compressed sensing | |
| subject keywords | computational requirements | |
| subject keywords | curse of dimensionality | |
| subject keywords | data sets | |
| subject keywords | exponential dependency | |
| subject keywords | higher-order tensors | |
| subject keywords | incomplete tensors decompositions | |
| subject keywords | memory requirements | |
| subject keywords | multilinear models | |
| subject keywords | tensor problems | |
| subject keywords | tensor-based scientific computing | |
| subject keywords | Approximation algorithms | |
| subject keywords | Approximation methods | |
| subject keywords | Big data | |
| subject keywords | Data storage | |
| subject keywords | Matrix decomposition | |
| subject keywords | Scientific computing | |
| subject keywords | Signal processing algorithms | |
| subject keywords | Tensile stres | |
| identifier doi | 10.1109/MSP.2014.2329429 | |
| journal title | Signal Processing Magazine, IEEE | |
| journal volume | 31 | |
| journal issue | 5 | |
| filesize | 1818020 | |
| citations | 0 |