| date accessioned | 2020-03-12T23:35:30Z | |
| date available | 2020-03-12T23:35:30Z | |
| date issued | 2014 | |
| identifier other | 6900549.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1117165?locale-attribute=fa&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Real-parameter optimization with OptBees | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8286887 | |
| subject keywords | hyperspectral imaging | |
| subject keywords | image processing | |
| subject keywords | object detection | |
| subject keywords | Neyman-Pearosn detection theory | |
| subject keywords | RATGP | |
| subject keywords | orthogonal subspace projection | |
| subject keywords | recursive ATGP | |
| subject keywords | recursive automatic target generation process | |
| subject keywords | recursive version | |
| subject keywords | unsupervised hyperspectral target detection | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Computational complexity | |
| subject keywords | Hyperspectral imaging | |
| subject keywords | Indexes | |
| subject keywords | Object detection | |
| subject keywords | Vectors | |
| subject keywords | Automatic target generation process (ATGP) | |
| subject keywords | Recursive ATGP (RATGP) | |
| identifier doi | 10.1109/IGARSS.2014.6947261 | |
| journal title | volutionary Computation (CEC), 2014 IEEE Congress on | |
| filesize | 1500130 | |
| citations | 0 | |
| contributor rawauthor | Dourado Maia, R. , Nunes de Castro, L. , Matos Caminhas, W. | |
