Iterative Concave Rank Approximation for Recovering Low-Rank Matrices.
Mohammadreza Malek-MohammadiMassoud Babaie-ZadehMikael SkoglundPublished in: CoRR (2015)
Keyphrases
- low rank matrices
- low rank approximation
- frobenius norm
- low rank
- low rank matrix approximation
- singular value decomposition
- kullback leibler divergence
- distance measure
- reconstruction error
- matrix completion
- objective function
- negative matrix factorization
- spectral clustering
- nuclear norm
- convex optimization
- subspace learning
- missing data
- iterative algorithms
- latent semantic indexing
- kernel matrix
- low rank matrix