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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.advisor | 장병탁 | - |
| dc.contributor.author | 노영균 | - |
| dc.date.accessioned | 2019-07-10T04:40:51Z | - |
| dc.date.available | 2019-07-10T04:40:51Z | - |
| dc.date.issued | 2011-08 | - |
| dc.identifier.other | 000000030869 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/159245 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000030869 | ko_KR |
| dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 협동과정 인지과학전공, 2011.8. 장병탁. | - |
| dc.format.extent | xi, 106 p. | - |
| dc.language.iso | eng | - |
| dc.publisher | 서울대학교 대학원 | - |
| dc.subject | 거리 학습 | - |
| dc.subject | 차원 축소 | - |
| dc.subject | f-divergence | - |
| dc.subject | 전처리 | - |
| dc.subject | 판별분석 | - |
| dc.subject | 최근접 이웃 방법 | - |
| dc.subject | metric learning | - |
| dc.subject | dimensionality reduction | - |
| dc.subject | preprocessing | - |
| dc.subject | discriminant analysis | - |
| dc.subject | nearest neighbor methods | - |
| dc.title | Generative metric learning and dimentionality reduction with f-divergences | - |
| dc.title.alternative | f-divergences를 이용한 데이터간 거리 학습과 차원축소의 생성 모델 기반 방법 | - |
| dc.type | Thesis | - |
| dc.type | Dissertation | - |
| dc.description.degree | Doctor | - |
| dc.contributor.affiliation | 협동과정 인지과학전공 | - |
| dc.date.awarded | 2011-08 | - |
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