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Generative metric learning and dimentionality reduction with f-divergences
f-divergences를 이용한 데이터간 거리 학습과 차원축소의 생성 모델 기반 방법

DC Field Value Language
dc.contributor.advisor장병탁-
dc.contributor.author노영균-
dc.date.accessioned2019-07-10T04:40:51Z-
dc.date.available2019-07-10T04:40:51Z-
dc.date.issued2011-08-
dc.identifier.other000000030869-
dc.identifier.urihttp://hdl.handle.net/10371/159245-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000030869ko_KR
dc.description학위논문 (박사)-- 서울대학교 대학원 : 협동과정 인지과학전공, 2011.8. 장병탁.-
dc.format.extentxi, 106 p.-
dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subject거리 학습-
dc.subject차원 축소-
dc.subjectf-divergence-
dc.subject전처리-
dc.subject판별분석-
dc.subject최근접 이웃 방법-
dc.subjectmetric learning-
dc.subjectdimensionality reduction-
dc.subjectpreprocessing-
dc.subjectdiscriminant analysis-
dc.subjectnearest neighbor methods-
dc.titleGenerative metric learning and dimentionality reduction with f-divergences-
dc.title.alternativef-divergences를 이용한 데이터간 거리 학습과 차원축소의 생성 모델 기반 방법-
dc.typeThesis-
dc.typeDissertation-
dc.description.degreeDoctor-
dc.contributor.affiliation협동과정 인지과학전공-
dc.date.awarded2011-08-
Appears in Collections:
College of Humanities (인문대학)Program in Cognitive Science (협동과정-인지과학전공)Theses (Ph.D. / Sc.D._협동과정-인지과학전공)
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