Hankel Low-Rank Matrix Completion: Performance of the Nuclear Norm Relaxation.
Konstantin UsevichPierre ComonPublished in: IEEE J. Sel. Top. Signal Process. (2016)
Keyphrases
- matrix completion
- low rank
- nuclear norm
- convex relaxation
- convex optimization
- low rank matrices
- missing data
- low rank matrix
- low rank matrix approximation
- linear combination
- matrix factorization
- norm minimization
- rank minimization
- semi supervised
- singular value decomposition
- high order
- kernel matrix
- minimization problems
- singular values
- multistage
- multi label
- high dimensional data
- low rank approximation
- globally optimal
- iterative algorithms
- collaborative filtering
- interior point methods
- pairwise
- data matrix
- affinity matrix
- image processing
- incomplete data
- recommender systems
- data analysis