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A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information

date accessioned2020-03-12T23:35:14Z
date available2020-03-12T23:35:14Z
date issued2014
identifier other6900386.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1117007?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information
typeConference Paper
contenttypeMetadata Only
identifier padid8286701
subject keywordsWeb sites
subject keywordsface recognition
subject keywordsfeature extraction
subject keywordspolice data processing
subject keywordsCSA
subject keywordsancillary identification cues estimation
subject keywordschildren faces database
subject keywordschildren gender recognition
subject keywordscontextual information
subject keywordsface external information
subject keywordsface image context
subject keywordsillumination conditions
subject keywordsonline child sexual abuse
subject keywordsroyalty-free stock-photography Web sites
subject keywordsunconstrained conditions
subject keywordsAccuracy
subject keywordsContext
subject keywordsDatabases
subject keywordsEstimation
subject keywordsFace
subject keywordsFace recognition
subject keywordsFeature extraction
identifier doi10.1109/ICPR.2014.70
journal titlevolutionary Computation (CEC), 2014 IEEE Congress on
filesize3143110
citations0
contributor rawauthorNobile, M.S. , Citrolo, A.G. , Cazzaniga, P. , Besozzi, D. , Mauri, G.


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