Subspace Gap Residuals for Rayleigh-Ritz Approximations.
Nela BosnerZlatko DrmacPublished in: SIAM J. Matrix Anal. Appl. (2009)
Keyphrases
- least squares
- low dimensional
- subspace clustering
- clustering high dimensional data
- principal component analysis
- principal components
- closed form
- subspace learning
- feature space
- high dimensional
- high dimensional data
- graphical models
- input data
- parameter estimation
- feature extraction
- lower dimensional
- database
- approximation methods
- kernel based nonlinear
- gaussian distribution
- upper bound
- probabilistic model
- pattern recognition
- image segmentation