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NEUROELECTROMAGNETIC IMAGING OF CORRELATED SOURCES USING A NOVEL SUBSPACE PENALIZED SPARSE LEARNING

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dc.contributor.author임창환-
dc.date.accessioned2021-08-03T11:36:28Z-
dc.date.available2021-08-03T11:36:28Z-
dc.date.created2021-07-01-
dc.date.issued2013-10-20-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/46580-
dc.publisherInternational conference on control, automation and systems (ICCAS)-
dc.titleNEUROELECTROMAGNETIC IMAGING OF CORRELATED SOURCES USING A NOVEL SUBSPACE PENALIZED SPARSE LEARNING-
dc.typeConference-
dc.contributor.affiliatedAuthor임창환-
dc.identifier.bibliographicCitation2013 13th International conference on control, automation and systems-
dc.relation.isPartOf2013 13th International conference on control, automation and systems-
dc.citation.title2013 13th International conference on control, automation and systems-
dc.citation.conferencePlaceKimdaejung Convention Center, Gwangju-
dc.type.rimsCONF-
dc.description.journalClass1-
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서울 공과대학 > 서울 생체공학전공 > 2. Conference Papers

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