INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS COMMENT
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Peter T. | - |
dc.contributor.author | Koo, Ja-Yong | - |
dc.date.accessioned | 2021-09-08T06:17:35Z | - |
dc.date.available | 2021-09-08T06:17:35Z | - |
dc.date.created | 2021-06-11 | - |
dc.date.issued | 2010-01 | - |
dc.identifier.issn | 1017-0405 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/117317 | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | STATISTICA SINICA | - |
dc.subject | EMPIRICAL CHARACTERISTIC FUNCTION | - |
dc.subject | EFFICIENCY | - |
dc.title | INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS COMMENT | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Koo, Ja-Yong | - |
dc.identifier.scopusid | 2-s2.0-77949361842 | - |
dc.identifier.wosid | 000275034100005 | - |
dc.identifier.bibliographicCitation | STATISTICA SINICA, v.20, no.1, pp.72 - 76 | - |
dc.relation.isPartOf | STATISTICA SINICA | - |
dc.citation.title | STATISTICA SINICA | - |
dc.citation.volume | 20 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 72 | - |
dc.citation.endPage | 76 | - |
dc.type.rims | ART | - |
dc.type.docType | Editorial Material | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | EMPIRICAL CHARACTERISTIC FUNCTION | - |
dc.subject.keywordPlus | EFFICIENCY | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.