A Convex Approach to Low Rank Matrix Approximation with Missing Data.
Carl OlssonMagnus OskarssonPublished in: SCIA (2009)
Keyphrases
- missing data
- low rank matrix approximation
- matrix completion
- low rank
- low rank approximation
- incomplete data
- convex optimization
- missing values
- matrix factorization
- convex relaxation
- norm minimization
- rank minimization
- kernel matrix
- singular value decomposition
- globally optimal
- singular values
- linear programming
- low rank matrix
- data matrix
- feature extraction
- principal component analysis
- small number