There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 42 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 40 | - |
dc.citation.title | IEEE SIGNAL PROCESSING LETTERS | - |
dc.citation.volume | 9 | - |
dc.contributor.author | Kim, Kwang In | - |
dc.contributor.author | Jung, Keechul | - |
dc.contributor.author | Kim, Hang Joon | - |
dc.date.accessioned | 2023-12-22T11:39:27Z | - |
dc.date.available | 2023-12-22T11:39:27Z | - |
dc.date.created | 2019-02-25 | - |
dc.date.issued | 2002-02 | - |
dc.description.abstract | A kernel principal component analysis (PCA) was recently proposed as a nonlinear extension of a PCA. The basic idea is to first map the input space into a feature space via nonlinear mapping and then compute the principal components in that feature space. This letter adopts the kernel PCA as a mechanism for extracting facial features. Through adopting a polynomial kernel, the principal components can be computed within the space spanned by high-order correlations of input pixels making up a facial image, thereby producing a good performance. | - |
dc.identifier.bibliographicCitation | IEEE SIGNAL PROCESSING LETTERS, v.9, no.2, pp.40 - 42 | - |
dc.identifier.doi | 10.1109/97.991133 | - |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.scopusid | 2-s2.0-0036477056 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/26220 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/991133 | - |
dc.identifier.wosid | 000174493300002 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Face recognition using kernel principal component analysis | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | eigenface | - |
dc.subject.keywordAuthor | face recognition | - |
dc.subject.keywordAuthor | kernel principal component analysis | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordPlus | SUPPORT VECTOR MACHINES | - |
dc.subject.keywordPlus | NEURAL-NETWORK | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.