Efficient Low-Rank Semidefinite Programming With Robust Loss Functions.
Quanming YaoHansi YangEn-Liang HuJames T. KwokPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- low rank
- semidefinite programming
- loss function
- kernel matrix
- convex optimization
- reproducing kernel hilbert space
- missing data
- matrix factorization
- linear combination
- singular value decomposition
- interior point methods
- primal dual
- semi supervised
- pairwise
- linear programming
- high order
- metric learning
- risk minimization
- kernel methods
- input space
- learning tasks
- high dimensional data
- higher order
- principal component analysis
- feature space
- support vector
- feature extraction
- feature selection
- data sets