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Implementation of a fast coral detector using a supervised machine learning and Gabor Wavelet feature descriptors

contributor authorTusa, Eduardo
contributor authorReynolds, Alan
contributor authorLane, David M.
contributor authorRobertson, Neil M.
contributor authorVillegas, Hyxia
contributor authorBosnjak, Antonio
date accessioned2020-03-12T22:16:24Z
date available2020-03-12T22:16:24Z
date issued2014
identifier other7000371.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1077240?show=full
formatgeneral
languageEnglish
publisherIEEE
titleImplementation of a fast coral detector using a supervised machine learning and Gabor Wavelet feature descriptors
typeConference Paper
contenttypeMetadata Only
identifier padid8213481
subject keywordscloud computing
subject keywordsn computer based training
subject keywordsn computer science education
subject keywordsn courseware
subject keywordsn distributed programming
subject keywordsn further education
subject keywordsn virtualisation
subject keywordsn GENI laboratory exercises development
subject keywordsn Global Environment for Network Innovations
subject keywordsn University of Missouri
subject keywordsn Web-service based applications
subject keywordsn cloud computing course
subject keywordsn cloud computing education
subject keywordsn computer virtualization
subject keywordsn computing theories
subject keywordsn distributed system programming projects
subject keywordsn distributed system
identifier doi10.1109/GREE.2014.15
journal titleensor Systems for a Changing Ocean (SSCO), 2014 IEEE
filesize1236727
citations0


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