Light-weight Deep Neural Networks for Multi-target Classification

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dc.contributor.authorGOO, JUNGMOko
dc.contributor.authorPark, Changgueko
dc.contributor.authorLIM, HYUNGTAEko
dc.contributor.authorMyung, Hyunko
dc.date.accessioned2019-11-26T01:20:31Z-
dc.date.available2019-11-26T01:20:31Z-
dc.date.created2019-11-01-
dc.date.issued2019-10-15-
dc.identifier.citationThe 19th International Conference on Control, Automation and Systems (ICCAS 2019)-
dc.identifier.urihttp://hdl.handle.net/10203/268561-
dc.languageEnglish-
dc.publisherICROS (Institute of Control, Robotics and Systems)-
dc.titleLight-weight Deep Neural Networks for Multi-target Classification-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 19th International Conference on Control, Automation and Systems (ICCAS 2019)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationICC Jeju-
dc.contributor.localauthorMyung, Hyun-
dc.contributor.nonIdAuthorPark, Changgue-
dc.contributor.nonIdAuthorLIM, HYUNGTAE-
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EE-Conference Papers(학술회의논문)
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