Tensor regression for LTI subspace identification.
Bilal GunesJan-Willem van WingerdenMichel VerhaegenPublished in: ACC (2015)
Keyphrases
- dimensionality reduction
- regression model
- high order
- higher order singular value decomposition
- regression problems
- support vector
- model selection
- low dimensional
- higher order
- linear regression
- support vector regression
- feature space
- subspace learning
- partial least squares
- subspace clustering
- diffusion tensor
- regression algorithm
- data sets