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SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix
We present a method called SketchyCoreSVD to compute the near-optimal rank r SVD of a data matrix by building random sketches only from its subsampled columns and rows. We provide theoretical guarantees under incoherence assumptions, and validate the performance of our SketchyCoreSVD method on vario...
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| Опубликовано в: : | Proc IEEE Int Congr Big Data |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7194189/ https://ncbi.nlm.nih.gov/pubmed/32363234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/bigdata47090.2019.9006345 |
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