https://scholars.lib.ntu.edu.tw/handle/123456789/559329
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | YEN-HUAN LI | - |
dc.date.accessioned | 2021-05-05T03:38:07Z | - |
dc.date.available | 2021-05-05T03:38:07Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 15206149 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.url?eid=2-s2.0-85089211934&partnerID=40&md5=23de0c61a3a5e7f006dce210c0b52353 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/559329 | - |
dc.description.abstract | The number of measurement outcomes in positron emission tomography (PET) is typically large, rendering signal reconstruction computationally expensive. We propose an online algorithm to address this computational issue. The per-iteration computational complexity of the proposed algorithm is independent of the number of measurement outcomes and linear√ in the signal dimension. The algorithm has a rigorous Oleft( {1/sqrt k } right) convergence rate guarantee, where k denotes the iteration counter. Numerical experiments on synthetic data-sets show that the algorithm can be significantly faster than expectation maximization and stochastic primal-dual hybrid gradient method. The proposed algorithm is based on an equivalent stochastic optimization formulation, the Soft-Bayes algorithm for online portfolio selection, and standard online-to-batch conversion. © 2020 IEEE. | - |
dc.relation.ispartof | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | - |
dc.subject | online portfolio selection; online-to-batch conversion; Positron emission tomography; Soft-Bayes; stochastic optimization | - |
dc.subject.other | Audio signal processing; Gradient methods; Maximum principle; Numerical methods; Optimization; Positrons; Signal reconstruction; Speech communication; Computational issues; Expectation - maximizations; Iteration counters; Numerical experiments; On-line algorithms; Positron emission tomography (PET); Stochastic optimizations; Synthetic datasets; Positron emission tomography | - |
dc.title | Online Positron Emission Tomography by Online Portfolio Selection | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/ICASSP40776.2020.9053230 | - |
dc.identifier.scopus | 2-s2.0-85089211934 | - |
dc.relation.pages | 1110-1114 | - |
dc.relation.journalvolume | 2020-May | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Institute of Statistics and Data Science | - |
crisitem.author.orcid | 0000-0003-2454-7249 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Science | - |
顯示於: | 資訊工程學系 |
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