Low-rank updates of matrix functions.
Bernhard BeckermannDaniel KressnerMarcel SchweitzerPublished in: CoRR (2017)
Keyphrases
- low rank
- matrix factorization
- missing data
- singular value decomposition
- matrix completion
- matrix decomposition
- rank minimization
- linear combination
- low rank matrix
- convex optimization
- semi supervised
- trace norm
- high order
- high dimensional data
- low rank matrices
- kernel matrix
- eigendecomposition
- frobenius norm
- factorization methods
- nuclear norm
- data matrix
- robust principal component analysis
- minimization problems
- singular values
- affinity matrix
- low rank and sparse
- kernel matrices
- feature extraction
- low rank approximation
- natural images
- higher order
- non rigid structure from motion
- active learning
- data mining
- data sets