Sparse sensor selection for nonparametric decentralized detection via L<inf>1</inf> regularization
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: 2014DOI: 10.1109/ICNSurv.2014.6820033
Keyword(s): aerospace engineering,n aerospace safety,n AAR software,n ADS-B software,n Biomimicry software,n DFDI model,n DataComm usage,n ERAM software,n conflict resolution communication,n contingency management,n data link technology,n extGen environment,n flight formation,n mixed-mode communication,n strategic situation,n super density airspace operation,n tactical situation
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Sparse sensor selection for nonparametric decentralized detection via L<inf>1</inf> regularization
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| contributor author | Wang, Weiguang | |
| contributor author | Liang, Yingbin | |
| contributor author | Xing, Eric P. | |
| contributor author | Shen, Lixin | |
| date accessioned | 2020-03-12T21:48:05Z | |
| date available | 2020-03-12T21:48:05Z | |
| date issued | 2014 | |
| identifier other | 6958898.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1060952 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Sparse sensor selection for nonparametric decentralized detection via L<inf>1</inf> regularization | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8192598 | |
| subject keywords | aerospace engineering | |
| subject keywords | n aerospace safety | |
| subject keywords | n AAR software | |
| subject keywords | n ADS-B software | |
| subject keywords | n Biomimicry software | |
| subject keywords | n DFDI model | |
| subject keywords | n DataComm usage | |
| subject keywords | n ERAM software | |
| subject keywords | n conflict resolution communication | |
| subject keywords | n contingency management | |
| subject keywords | n data link technology | |
| subject keywords | n extGen environment | |
| subject keywords | n flight formation | |
| subject keywords | n mixed-mode communication | |
| subject keywords | n strategic situation | |
| subject keywords | n super density airspace operation | |
| subject keywords | n tactical situation | |
| identifier doi | 10.1109/ICNSurv.2014.6820033 | |
| journal title | achine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on | |
| filesize | 178700 | |
| citations | 0 |