Low-rank optimization for distance matrix completion.
Bamdev MishraGilles MeyerRodolphe SepulchrePublished in: CDC/ECC (2011)
Keyphrases
- matrix completion
- low rank
- norm minimization
- nuclear norm
- matrix factorization
- missing data
- convex optimization
- rank minimization
- linear combination
- convex relaxation
- singular value decomposition
- low rank matrices
- singular values
- high dimensional data
- kernel matrix
- low rank matrix
- trace norm
- high order
- semi supervised
- missing values
- optimization methods
- optimization method
- machine learning
- minimization problems
- data sets
- image processing
- bayesian networks
- high dimensional
- rank aggregation
- recommender systems
- incomplete data