Deterministic Symmetric Positive Semidefinite Matrix Completion.
William E. BishopByron M. YuPublished in: NIPS (2014)
Keyphrases
- matrix completion
- positive semidefinite
- low rank
- positive semidefinite matrices
- kernel matrix
- linear combination
- semidefinite programming
- matrix factorization
- missing data
- singular value decomposition
- convex optimization
- semidefinite
- high order
- kernel methods
- convex relaxation
- high dimensional data
- kernel function
- similarity function
- metric learning
- semi supervised
- least squares
- support vector
- incomplete data
- maximum likelihood
- feature set
- collaborative filtering
- interior point methods
- recommender systems
- feature space