Iterative Concave Rank Approximation for Recovering Low-Rank Matrices.
Mohammadreza Malek-MohammadiMassoud Babaie-ZadehMikael SkoglundPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- low rank matrices
- low rank approximation
- frobenius norm
- low rank
- singular value decomposition
- matrix completion
- low rank matrix approximation
- reconstruction error
- kullback leibler divergence
- euclidean distance
- nuclear norm
- low rank matrix
- distance measure
- negative matrix factorization
- objective function
- approximation methods
- singular values
- subspace learning
- kernel matrix
- approximation algorithms
- linear combination
- iterative algorithms
- nonnegative matrix factorization
- rank minimization
- denoising
- semi supervised
- pairwise
- data sets