Low-Rank Matrix Approximation in the Infinity Norm.
Nicolas GillisYaroslav ShitovPublished in: CoRR (2017)
Keyphrases
- low rank matrix approximation
- low rank approximation
- low rank matrices
- singular value decomposition
- matrix completion
- low rank
- subspace learning
- nuclear norm
- spectral clustering
- kernel matrix
- iterative algorithms
- norm minimization
- data dependent
- latent semantic indexing
- nonnegative matrix factorization
- adjacency matrix
- objective function
- reconstruction error
- rank minimization
- dimensionality reduction
- singular values
- convex optimization
- principal component analysis