Keyphrases
- low rank
- matrix decomposition
- matrix factorization
- matrix completion
- convex optimization
- low rank approximation
- frobenius norm
- missing data
- linear combination
- singular value decomposition
- low rank matrix
- rank minimization
- markov decision processes
- kernel matrix
- high dimensional data
- semi supervised
- high order
- optimal policy
- low rank representation
- singular values
- robust principal component analysis
- minimization problems
- affinity matrix
- approximation methods
- data matrix
- trace norm
- markov decision process
- incomplete data
- linear program
- collaborative filtering
- state space
- machine learning