A unified linear convergence analysis of k-SVD

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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書目詳細資料
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
主題:	Science Eigenvector Computation k-SVD
在線閱讀:	https://hdl.handle.net/10356/155195
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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