Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction.
Yongfeng LiHaoyang LiuZaiwen WenYa-Xiang YuanPublished in: SIAM J. Sci. Comput. (2020)
Keyphrases
- low rank matrix
- low rank
- convex optimization
- singular value decomposition
- high dimensional data
- rank minimization
- sparse matrix
- eigendecomposition
- principal component analysis
- low dimensional
- high dimensional
- matrix factorization
- approximation methods
- principal components
- pairwise
- feature space
- objective function
- data sets
- linear combination
- semi supervised
- active learning
- neural network