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LARGE SCALE RANDOMIZED LEARNING GUIDED BY PHYSICAL LAWS WITH APPLICATIONS IN FULL WAVEFORM INVERSION.

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第一作者： Rui,Xie

第一单位： Department of Statistics, University of Georgia.

作者： Rui,Xie ^[1] ; Fangyu,Li ^[2] ; Zengyan,Wang ^[3] ; WenZhan,Song ^[2]

作者单位： Department of Statistics, University of Georgia. ^[1] Center for Cyber-Physical Systems, University of Georgia. ^[2] Department of Computer Science, University of Georgia. ^[3]

关键词 big data full waveform inversion randomized learning sub-sampling

DOI 10.1109/GlobalSIP.2018.8646507

PMID 31211247

发布时间 2020-09-29

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... IEEE Global Conference on Signal and Information Processing. IEEE Global Conference on Signal and Information Processing

2018年2018卷

66-70页

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... IEEE Global Conference on Signal and Information Processing. IEEE Global Conference on Signal and Information Processing

2018年2018卷

66-70页

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LARGE SCALE RANDOMIZED LEARNING GUIDED BY PHYSICAL LAWS WITH APPLICATIONS IN FULL WAVEFORM INVERSION.

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LARGE SCALE RANDOMIZED LEARNING GUIDED BY PHYSICAL LAWS WITH APPLICATIONS IN FULL WAVEFORM INVERSION.

... IEEE Global Conference on Signal and Information Processing. IEEE Global Conference on Signal and Information Processing

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... IEEE Global Conference on Signal and Information Processing. IEEE Global Conference on Signal and Information Processing

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