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Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation

contributor authorWang, Pichao
contributor authorLi, Wanqing
contributor authorOgunbona, Philip
contributor authorGao, Zhimin
contributor authorZhang, Hanling
date accessioned2020-03-12T22:25:16Z
date available2020-03-12T22:25:16Z
date issued2014
identifier other7008115.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1082428?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation
typeConference Paper
contenttypeMetadata Only
identifier padid8219003
subject keywordselectro-optical modulation
subject keywordsn elemental semiconductors
subject keywordsn optical communication
subject keywordsn optical pulse generation
subject keywordsn organic-inorganic hybrid materials
subject keywordsn silicon
subject keywordsn wavelength division multiplexing
subject keywordsn Si
subject keywordsn WDM data transmission
subject keywordsn data rates
subject keywordsn frequenc&
subject keywords#x03B3
subject keywordscomb generation
subject keywordsn silicon-organic h&
subject keywords#x03B3
subject keywordsbrid electro-optic modulators
subject keywordsn silicon-organic hybrid frequency combs
subject keywordsn Data communication
subject keywordsn Frequency modulation
subject keywordsn Optical fibers
subject keywordsn Optical modulation
identifier doi10.1109/OFC.2014.6886860
journal titleigital lmage Computing: Techniques and Applications (DlCTA), 2014 International Conference on
filesize728951
citations0


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