Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent.
En-Liang HuJames T. KwokPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- low rank
- kernel matrix
- kernel learning
- convex optimization
- kernel matrices
- semidefinite programming
- interior point methods
- semi supervised
- missing data
- singular value decomposition
- linear combination
- low rank matrix
- matrix factorization
- high dimensional data
- kernel function
- primal dual
- kernel methods
- high order
- pattern recognition
- total variation
- multi task learning
- learning tasks
- least squares
- high dimensional