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Unsupervised co-segmentation based on a new global GMM constraint in MRF

contributor authorYu, Hongkai
contributor authorXian, Min
contributor authorQi, Xiaojun
date accessioned2020-03-12T22:50:36Z
date available2020-03-12T22:50:36Z
date issued2014
identifier other7025895.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096477?show=full
formatgeneral
languageEnglish
publisherIEEE
titleUnsupervised co-segmentation based on a new global GMM constraint in MRF
typeConference Paper
contenttypeMetadata Only
identifier padid8237013
subject keywordsautonomous aerial vehicles
subject keywordsn error analysis
subject keywordsn helicopters
subject keywordsn learning systems
subject keywordsn mobile robots
subject keywordsn optimal control
subject keywordsn telerobotics
subject keywordsn DMP
subject keywordsn UAV
subject keywordsn dynamic movement primitives
subject keywordsn error analysis
subject keywordsn general purpose optimal control solver
subject keywordsn in-flight modifications
subject keywordsn online maneuver generalization
subject keywordsn optimal control problems
subject keywordsn perching maneuvers
subject keywordsn planar point-to-point maneuvers
subject keywordsn quadrotor maneuver learning
subject keywordsn quadrotor-type vehicles
subject keywordsn real-time generali
identifier doi10.1109/ICRA.2014.6907087
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize373060
citations0


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