Nonlinear Low Rank Modification of a Symmetric Eigenvalue Problem.
Heinrich VossKemal YildiztekinXin HuangPublished in: SIAM J. Matrix Anal. Appl. (2011)
Keyphrases
- low rank
- sparse linear
- high order
- convex optimization
- missing data
- linear combination
- matrix factorization
- matrix completion
- singular value decomposition
- kernel matrix
- low rank matrix
- high dimensional data
- semi supervised
- rank minimization
- robust principal component analysis
- matrix decomposition
- low rank matrices
- kernel pca
- covariance matrix
- minimization problems
- trace norm
- markov random field
- higher order
- object detection
- image processing
- low rank representation
- data sets