A unified linear convergence analysis of k-SVD

Eigenvector computation, e.g., k-SVD for finding top-k singular subspaces, is often of central importance to many scientific and engineering tasks. There has been resurgent interest recently in analyzing relevant methods in terms of singular value gap dependence. Particularly, when the gap vanishes,...

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Main Authors: Xu, Zhiqiang, Ke, Yiping, Cao, Xin, Zhou, Chunlai, Wei, Pengfei, Gao, Xin
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/155195
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