A Perturbation Bound on the Subspace Estimator from Canonical Projections.
Karan SrivastavaDaniel L. Pimentel-AlarcónPublished in: ISIT (2022)
Keyphrases
- linear projection
- subspace projections
- maximum likelihood
- cramer rao lower bound
- lower bound
- upper bound
- worst case
- low dimensional
- feature space
- linear subspace
- least squares
- principal component analysis
- projection matrix
- three dimensional
- estimation error
- dimensionality reduction
- subspace clustering
- subspace learning
- high dimensional
- multi faceted
- maximum a posteriori
- radon transform
- tomographic reconstruction
- error estimation
- feature extraction
- high dimensional data
- optimization criterion
- subspace methods
- discrete tomography
- maximum likelihood estimator
- estimation algorithm
- perturbation method
- clustering method
- kernel based nonlinear