16 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.DS2017★ 16 cited
Single-Pass PCA of Large High-Dimensional Data
Wenjian Yu, Yu Gu, Jian Li +2
Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning. For large and high-dimensional data, computing the PCA (i.e., the s…
math.NA2016★ 4 cited
Efficient Randomized Algorithms for the Fixed-Precision Low-Rank Matrix Approximation
Wenjian Yu, Yu Gu, Yaohang Li
Randomized algorithms for low-rank matrix approximation are investigated, with the emphasis on the fixed-precision problem and computational efficiency for handling large matrices.…