On Best Low Rank Approximation of Positive Definite Tensors.
Eric EvertLieven De LathauwerPublished in: SIAM J. Matrix Anal. Appl. (2023)
Keyphrases
- positive definite
- low rank approximation
- kernel matrix
- kernel methods
- low rank
- kernel function
- feature space
- diffusion tensor
- metric learning
- singular value decomposition
- model selection
- input space
- reproducing kernel hilbert space
- support vectors
- ls svm
- data dependent
- high order
- training samples
- iterative algorithms
- missing data
- learning algorithm
- matrix factorization
- anisotropic diffusion
- dimensionality reduction
- support vector machine
- high dimensional
- support vector
- image processing