2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Lanlan Feng, Ce Zhu, Yipeng Liu +2
Robust tensor principal component analysis (RTPCA) aims to separate the low-rank and sparse components from multi-dimensional data, making it an essential technique in the signal p…
cs.CV2020★ 2 cited
Frequency-Weighted Robust Tensor Principal Component Analysis
Shenghan Wang, Yipeng Liu, Lanlan Feng +1
Robust tensor principal component analysis (RTPCA) can separate the low-rank component and sparse component from multidimensional data, which has been used successfully in several…