DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, Jaejun | ko |
dc.contributor.author | Wahab, Abdul | ko |
dc.contributor.author | Ye, Jong Chul | ko |
dc.date.accessioned | 2018-11-22T07:07:52Z | - |
dc.date.available | 2018-11-22T07:07:52Z | - |
dc.date.created | 2018-11-19 | - |
dc.date.created | 2018-11-19 | - |
dc.date.created | 2018-11-19 | - |
dc.date.issued | 2018-11 | - |
dc.identifier.citation | SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818 | - |
dc.identifier.issn | 0036-1399 | - |
dc.identifier.uri | http://hdl.handle.net/10203/246896 | - |
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.language | English | - |
dc.publisher | SIAM PUBLICATIONS | - |
dc.subject | LOW-DOSE CT | - |
dc.subject | CONVOLUTIONAL NEURAL-NETWORK | - |
dc.subject | ATTENUATING ACOUSTIC MEDIA | - |
dc.subject | TIME-REVERSAL ALGORITHMS | - |
dc.subject | INVERSE SOURCE PROBLEM | - |
dc.subject | SOURCE LOCALIZATION | - |
dc.subject | SEISMIC SOURCES | - |
dc.subject | RECONSTRUCTION | - |
dc.subject | TOMOGRAPHY | - |
dc.subject | FRAMELETS | - |
dc.title | A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING | - |
dc.type | Article | - |
dc.identifier.wosid | 000448809300023 | - |
dc.identifier.scopusid | 2-s2.0-85055771908 | - |
dc.type.rims | ART | - |
dc.citation.volume | 78 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 2791 | - |
dc.citation.endingpage | 2818 | - |
dc.citation.publicationname | SIAM JOURNAL ON APPLIED MATHEMATICS | - |
dc.identifier.doi | 10.1137/18M1174027 | - |
dc.contributor.localauthor | Ye, Jong Chul | - |
dc.contributor.nonIdAuthor | Yoo, Jaejun | - |
dc.contributor.nonIdAuthor | Wahab, Abdul | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
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 | ATTENUATING ACOUSTIC MEDIA | - |
dc.subject.keywordPlus | TIME-REVERSAL ALGORITHMS | - |
dc.subject.keywordPlus | INVERSE SOURCE PROBLEM | - |
dc.subject.keywordPlus | SOURCE LOCALIZATION | - |
dc.subject.keywordPlus | SEISMIC SOURCES | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | TOMOGRAPHY | - |
dc.subject.keywordPlus | FRAMELETS | - |
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