A converse to low-rank matrix completion.
Daniel L. Pimentel-AlarcónRobert D. NowakPublished in: ISIT (2016)
Keyphrases
- matrix completion
- low rank
- missing data
- convex optimization
- linear combination
- matrix factorization
- rank minimization
- low rank matrix approximation
- low rank matrix
- kernel matrix
- norm minimization
- singular value decomposition
- high dimensional data
- high order
- semi supervised
- low rank matrices
- minimization problems
- singular values
- nuclear norm
- machine learning
- trace norm
- collaborative filtering
- data sets