Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems.
Ramtin MadaniGhazal FazelniaSomayeh SojoudiJavad LavaeiPublished in: CDC (2014)
Keyphrases
- matrix completion
- low rank
- nuclear norm
- norm minimization
- low rank matrix approximation
- linear combination
- convex optimization
- low rank matrix
- missing data
- singular value decomposition
- convex relaxation
- matrix factorization
- rank minimization
- frobenius norm
- semi supervised
- singular values
- low rank matrices
- trace norm
- high order
- minimization problems
- high dimensional data
- kernel matrix
- optimization problems
- data matrix
- incomplete data
- tensor decomposition
- stochastic gradient descent
- machine learning
- optimization methods
- missing values
- least squares
- small number
- face recognition