Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation.
Xiangyu ChangYan ZhongYao WangShaobo LinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- least squares
- low rank matrix
- matrix approximation
- singular value decomposition
- low rank
- matrix decomposition
- approximation methods
- robust estimation
- nonnegative matrix factorization
- low rank approximation
- convex optimization
- matrix factorization
- sparse matrix
- optical flow
- singular values
- low rank matrices
- low rank and sparse
- dimension reduction
- linear combination
- kernel matrix
- matrix completion
- missing data
- rank minimization
- learning algorithm