An algebraic multifrontal preconditioner that exploits the low-rank property.
Artem NapovXiaoye S. LiPublished in: Numer. Linear Algebra Appl. (2016)
Keyphrases
- low rank
- convex optimization
- matrix factorization
- linear combination
- missing data
- matrix completion
- kernel matrix
- singular value decomposition
- semi supervised
- rank minimization
- low rank matrix
- matrix decomposition
- high order
- singular values
- high dimensional data
- trace norm
- robust principal component analysis
- data matrix
- low rank matrices
- data sets
- learning algorithm
- low rank representation
- image denoising
- collaborative filtering
- affinity matrix
- multiscale
- image segmentation
- machine learning
- data mining