A least squares approach to the subspace identification problem.
Laurent BakoGuillaume MercèreStéphane LecoeuchePublished in: CDC (2008)
Keyphrases
- least squares
- robust estimation
- parameter estimation
- optical flow
- automatic identification
- feature space
- set of basis functions
- canonical correlation analysis
- dimensionality reduction
- linear combination
- singular value decomposition
- subspace clustering
- ls svm
- input data
- subspace learning
- high dimensional
- sparse linear
- clustering high dimensional data
- case study