A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion.
Daniel L. Pimentel-AlarcónNigel BostonRobert D. NowakPublished in: CoRR (2015)
Keyphrases
- matrix completion
- low rank
- convex optimization
- missing data
- low rank matrix approximation
- linear combination
- rank minimization
- matrix factorization
- high order
- low rank matrix
- low rank approximation
- singular value decomposition
- high dimensional data
- trace norm
- kernel matrix
- norm minimization
- semi supervised
- low rank matrices
- singular values
- incomplete data
- rank aggregation
- data sets
- least squares
- protein interaction networks
- stochastic gradient descent
- convex relaxation
- missing values
- collaborative filtering
- nuclear norm
- feature selection
- machine learning