There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 2818 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 2791 | - |
dc.citation.title | SIAM JOURNAL ON APPLIED MATHEMATICS | - |
dc.citation.volume | 78 | - |
dc.contributor.author | Yoo, Jaejun | - |
dc.contributor.author | Wahab, Abdul | - |
dc.contributor.author | Ye, Jong Chul | - |
dc.date.accessioned | 2023-12-21T20:08:04Z | - |
dc.date.available | 2023-12-21T20:08:04Z | - |
dc.date.created | 2021-08-18 | - |
dc.date.issued | 2018-10 | - |
dc.description.abstract | An inverse elastic source problem with sparse measurements is our concern. A generic mathematical framework is proposed which extends a low-dimensional manifold regularization in the conventional source reconstruction algorithms thereby enhancing their performance with sparse data-sets. It is rigorously established that the proposed framework is equivalent to the so-called deep convolutional framelet expansion in machine learning literature for inverse problems. Apposite numerical examples are furnished to substantiate the efficacy of the proposed framework. | - |
dc.identifier.bibliographicCitation | SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818 | - |
dc.identifier.doi | 10.1137/18M1174027 | - |
dc.identifier.issn | 0036-1399 | - |
dc.identifier.scopusid | 2-s2.0-85055771908 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/53571 | - |
dc.identifier.url | https://epubs.siam.org/doi/10.1137/18M1174027 | - |
dc.identifier.wosid | 000448809300023 | - |
dc.language | 영어 | - |
dc.publisher | SIAM PUBLICATIONS | - |
dc.title | A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | elasticity imaging | - |
dc.subject.keywordAuthor | inverse source problem | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | convolutional neural network | - |
dc.subject.keywordAuthor | deep convolutional framelets | - |
dc.subject.keywordAuthor | time-reversal | - |
dc.subject.keywordPlus | LOW-DOSE CT | - |
dc.subject.keywordPlus | CONVOLUTIONAL NEURAL-NETWORK | - |
dc.subject.keywordPlus | TIME-REVERSAL ALGORITHMS | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | FRAMELETS | - |
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.