A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information
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Year
: 2014DOI: 10.1109/ICPR.2014.70
Keyword(s): Web sites,face recognition,feature extraction,police data processing,CSA,ancillary identification cues estimation,children faces database,children gender recognition,contextual information,face external information,face image context,illumination conditions,online child sexual abuse,royalty-free stock-photography Web sites,unconstrained conditions,Accuracy,Context,Databases,Estimation,Face,Face recognition,Feature extraction
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A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information
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| date accessioned | 2020-03-12T23:35:14Z | |
| date available | 2020-03-12T23:35:14Z | |
| date issued | 2014 | |
| identifier other | 6900386.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1117007?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8286701 | |
| subject keywords | Web sites | |
| subject keywords | face recognition | |
| subject keywords | feature extraction | |
| subject keywords | police data processing | |
| subject keywords | CSA | |
| subject keywords | ancillary identification cues estimation | |
| subject keywords | children faces database | |
| subject keywords | children gender recognition | |
| subject keywords | contextual information | |
| subject keywords | face external information | |
| subject keywords | face image context | |
| subject keywords | illumination conditions | |
| subject keywords | online child sexual abuse | |
| subject keywords | royalty-free stock-photography Web sites | |
| subject keywords | unconstrained conditions | |
| subject keywords | Accuracy | |
| subject keywords | Context | |
| subject keywords | Databases | |
| subject keywords | Estimation | |
| subject keywords | Face | |
| subject keywords | Face recognition | |
| subject keywords | Feature extraction | |
| identifier doi | 10.1109/ICPR.2014.70 | |
| journal title | volutionary Computation (CEC), 2014 IEEE Congress on | |
| filesize | 3143110 | |
| citations | 0 | |
| contributor rawauthor | Nobile, M.S. , Citrolo, A.G. , Cazzaniga, P. , Besozzi, D. , Mauri, G. |