Low-Rank Updates of Matrix Functions.
Bernhard BeckermannDaniel KressnerMarcel SchweitzerPublished in: SIAM J. Matrix Anal. Appl. (2018)
Keyphrases
- low rank
- linear combination
- missing data
- low rank matrix
- convex optimization
- matrix decomposition
- rank minimization
- matrix completion
- singular value decomposition
- matrix factorization
- trace norm
- semi supervised
- high dimensional data
- frobenius norm
- kernel matrix
- singular values
- data matrix
- high order
- factorization methods
- low rank and sparse
- low rank approximation
- nuclear norm
- low rank matrices
- robust principal component analysis
- kernel matrices
- eigendecomposition
- non rigid structure from motion
- natural images
- higher order
- knn
- recommender systems