A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix.
Jianchao BaiXuefeng DuanKexin ChengXuewei ZhangPublished in: J. Appl. Math. (2015)
Keyphrases
- positive semidefinite
- low rank approximation
- kernel matrix
- low rank
- semidefinite programming
- kernel methods
- metric learning
- singular value decomposition
- kernel function
- semidefinite
- linear combination
- positive definite
- reproducing kernel hilbert space
- subspace learning
- feature space
- support vectors
- input space
- model selection
- data sets
- data dependent
- ls svm
- spectral clustering
- adjacency matrix