Particle swarm optimization algorithm based Gaussian mixture models for remote-sensing image recognition
| contributor author | Zhang Jianhua , Zhou Hong | |
| date accessioned | 2020-03-12T23:29:31Z | |
| date available | 2020-03-12T23:29:31Z | |
| date issued | 2014 | |
| identifier other | 6895724.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1113602?locale-attribute=en&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Particle swarm optimization algorithm based Gaussian mixture models for remote-sensing image recognition | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8282719 | |
| subject keywords | Educational institutions | |
| subject keywords | Mathematical model | |
| subject keywords | Mobile communication | |
| subject keywords | Mobile computing | |
| subject keywords | Organizations | |
| subject keywords | Reliability | |
| subject keywords | Mobile Payment | |
| subject keywords | Perceived Risk | |
| subject keywords | Technology Acceptance | |
| subject keywords | Technology Acceptance Model (TAM) | |
| subject keywords | Trust | |
| identifier doi | 10.1109/CyberC.2014.62 | |
| journal title | ontrol Conference (CCC), 2014 33rd Chinese | |
| filesize | 396791 | |
| citations | 0 |
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