Covariance, subspace, and intrinsic Cramér-Rao bounds.
S. T. SmithPublished in: IEEE Trans. Signal Process. (2005)
Keyphrases
- covariance matrices
- upper bound
- lower bound
- covariance matrix
- upper and lower bounds
- low dimensional
- subspace clustering
- rao bound
- feature space
- subspace learning
- dimensionality reduction
- high dimensional data
- principal components analysis
- lower and upper bounds
- pairwise
- linear subspace
- lower dimensional
- geometric structure
- high dimensional
- error bounds
- discriminant information
- clustering high dimensional data
- worst case
- vc dimension
- feature extraction
- np hard
- subspace methods
- subspace clusters