Informed Non-convex Robust Principal Component Analysis with Features
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/7935c3a2-af2c-45f7-a58c-c9f99c39520c
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资源简介：
The dataset used in this paper is a low-rank matrix M, which can be decomposed into a low-rank component L∗ and a sparse error matrix S∗. The authors use this dataset to test their proposed algorithm for robust principal component analysis with features.
提供机构：
TIB
创建时间：
2024-12-16
