IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update
Publisher:
Year
: 2014DOI: 10.1109/MCSE.2014.52
Keyword(s): Big Data,singular value decomposition,spatial data structures,IK-SVD method,SVD decomposition process,data sparse representation,dictionary learning process,error matrix contruction,incremental atom update,orthogonal matching pursuit,redundant information,spatial big data,training cycle,Big data,Data handling,Data storage systems,Dictionaries,Information management,Learning systems,Mathematical model,Remote sensing,Spatial analysis,Big Data,dictionary learning,scientific
Collections
:
-
Statistics
IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update
Show full item record
| contributor author | Lizhe Wang | |
| contributor author | Ke Lu | |
| contributor author | Peng Liu | |
| contributor author | Ranjan, Rajiv | |
| contributor author | Lajiao Chen | |
| date accessioned | 2020-03-12T23:58:46Z | |
| date available | 2020-03-12T23:58:46Z | |
| date issued | 2014 | |
| identifier issn | 1521-9615 | |
| identifier other | 6799952.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1130152?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8310610 | |
| subject keywords | Big Data | |
| subject keywords | singular value decomposition | |
| subject keywords | spatial data structures | |
| subject keywords | IK-SVD method | |
| subject keywords | SVD decomposition process | |
| subject keywords | data sparse representation | |
| subject keywords | dictionary learning process | |
| subject keywords | error matrix contruction | |
| subject keywords | incremental atom update | |
| subject keywords | orthogonal matching pursuit | |
| subject keywords | redundant information | |
| subject keywords | spatial big data | |
| subject keywords | training cycle | |
| subject keywords | Big data | |
| subject keywords | Data handling | |
| subject keywords | Data storage systems | |
| subject keywords | Dictionaries | |
| subject keywords | Information management | |
| subject keywords | Learning systems | |
| subject keywords | Mathematical model | |
| subject keywords | Remote sensing | |
| subject keywords | Spatial analysis | |
| subject keywords | Big Data | |
| subject keywords | dictionary learning | |
| subject keywords | scientific | |
| identifier doi | 10.1109/MCSE.2014.52 | |
| journal title | Computing in Science & Engineering | |
| journal volume | 16 | |
| journal issue | 4 | |
| filesize | 2420863 | |
| citations | 0 |