Low rank approximation of the symmetric positive semidefinite matrix.
Xuefeng DuanJiao-Fen LiQingwen WangXinjun ZhangPublished in: J. Comput. Appl. Math. (2014)
Keyphrases
- positive semidefinite
- low rank approximation
- kernel matrix
- positive semidefinite matrices
- positive definite
- low rank
- kernel methods
- semidefinite programming
- metric learning
- kernel function
- feature space
- input space
- model selection
- training samples
- support vectors
- linear combination
- singular value decomposition
- similarity function
- missing data
- support vector machine
- convex optimization
- ls svm
- reproducing kernel hilbert space
- semidefinite
- matrix factorization
- machine learning
- training examples
- semi supervised
- support vector
- face recognition
- image segmentation