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Real-parameter optimization with OptBees

Author:
Dourado Maia, R. , Nunes de Castro, L. , Matos Caminhas, W.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IGARSS.2014.6947261
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1117165
Keyword(s): hyperspectral imaging,image processing,object detection,Neyman-Pearosn detection theory,RATGP,orthogonal subspace projection,recursive ATGP,recursive automatic target generation process,recursive version,unsupervised hyperspectral target detection,Algorithm design and analysis,Computational complexity,Hyperspectral imaging,Indexes,Object detection,Vectors,Automatic target generation process (ATGP),Recursive ATGP (RATGP)
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    Real-parameter optimization with OptBees

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date accessioned2020-03-12T23:35:30Z
date available2020-03-12T23:35:30Z
date issued2014
identifier other6900549.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1117165
formatgeneral
languageEnglish
publisherIEEE
titleReal-parameter optimization with OptBees
typeConference Paper
contenttypeMetadata Only
identifier padid8286887
subject keywordshyperspectral imaging
subject keywordsimage processing
subject keywordsobject detection
subject keywordsNeyman-Pearosn detection theory
subject keywordsRATGP
subject keywordsorthogonal subspace projection
subject keywordsrecursive ATGP
subject keywordsrecursive automatic target generation process
subject keywordsrecursive version
subject keywordsunsupervised hyperspectral target detection
subject keywordsAlgorithm design and analysis
subject keywordsComputational complexity
subject keywordsHyperspectral imaging
subject keywordsIndexes
subject keywordsObject detection
subject keywordsVectors
subject keywordsAutomatic target generation process (ATGP)
subject keywordsRecursive ATGP (RATGP)
identifier doi10.1109/IGARSS.2014.6947261
journal titlevolutionary Computation (CEC), 2014 IEEE Congress on
filesize1500130
citations0
contributor rawauthorDourado Maia, R. , Nunes de Castro, L. , Matos Caminhas, W.
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