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Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance

contributor authorSong, Youyi
contributor authorNi, Dong
contributor authorHe, Liang
contributor authorChen, Siping
contributor authorLei, Baiying
contributor authorWang, Tianfu
date accessioned2020-03-12T22:45:40Z
date available2020-03-12T22:45:40Z
date issued2014
identifier other7022702.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1093624?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleSegmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance
typeConference Paper
contenttypeMetadata Only
identifier padid8233103
subject keywordscomputer centres
subject keywordsn computer network performance evaluation
subject keywordsn network servers
subject keywordsn telecommunication network topology
subject keywordsn telecommunication traffic
subject keywordsn virtual machines
subject keywordsn virtualisation
subject keywordsn VM placement
subject keywordsn network knowledge
subject keywordsn network topology data
subject keywordsn network traffic
subject keywordsn network-heavy scale-out workloads
subject keywordsn server cluster
subject keywordsn virtual machines
subject keywordsn virtualized data center performance
subject keywordsn workload performance improvement
subject keywordsn Bandwidth
subject keywordsn Heuristic algorithms
subject keywordsn Knowledge
identifier doi10.1109/IC2E.2014.81
journal titleata Mining Workshop (ICDMW), 2014 IEEE International Conference on
filesize637237
citations0


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