Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Effects of sparseness level on decomposition of brain networks through the non-negative matrix factorization(NMF)

Full metadata record
DC Field Value Language
dc.contributor.authorCheol Han-
dc.date.accessioned2021-08-27T18:41:48Z-
dc.date.available2021-08-27T18:41:48Z-
dc.date.created2021-04-22-
dc.date.issued2019-02-22-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/14570-
dc.publisher한국뇌공학회-
dc.titleEffects of sparseness level on decomposition of brain networks through the non-negative matrix factorization(NMF)-
dc.title.alternativeEffects of sparseness level on decomposition of brain networks through the non-negative matrix factorization(NMF)-
dc.typeConference-
dc.contributor.affiliatedAuthorCheol Han-
dc.identifier.bibliographicCitation2019 뇌와 인공지능 심포지엄-
dc.relation.isPartOf2019 뇌와 인공지능 심포지엄-
dc.relation.isPartOf2019 뇌와 인공지능 심포지엄 초록집-
dc.citation.title2019 뇌와 인공지능 심포지엄-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace웰리힐리파크 마루홀 강원도-
dc.citation.conferenceDate2019-02-21-
dc.type.rimsCONF-
dc.description.journalClass2-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Electronics and Information Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE