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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2924647
Abstract: A novel deep architecture, the sparse deep tensor extreme learning machine (SDT-ELM), is presented as a tool for pattern classification. In extending the original ELM, the proposed SDT-ELM gains the theoretical advantage of effectively reducing…
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Keywords:
tensor;
sparse deep;
tensor extreme;
classification ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3075968
Abstract: The core challenge of seismic data interpolation is how to capture latent spatial-temporal relationships between unknown and known traces in 3-D space. The prevailing tensor-based interpolation schemes seek a globally low-rank approximation to mine the…
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Keywords:
data interpolation;
seismic data;
tensor;
dtae ... See more keywords