Low-Rank Semidefinite Programming: Theory and Applications.
Alex LemonAnthony Man-Cho SoYinyu YePublished in: Found. Trends Optim. (2016)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- trace norm
- convex optimization
- linear combination
- missing data
- positive semidefinite
- matrix factorization
- singular value decomposition
- interior point methods
- semi supervised
- semidefinite
- high dimensional data
- high order
- linear programming
- primal dual
- kernel function
- kernel methods
- minimization problems
- feature space
- objective function
- interior point
- total variation
- affinity matrix
- feature selection
- higher order
- training data