Asymptotic performance analysis of PCA algorithms based on the weighted subspace criterion.
Jean Pierre DelmasVictor GabillonPublished in: ICASSP (2009)
Keyphrases
- principal component analysis
- computational cost
- worst case
- principal components analysis
- principal components
- computationally efficient
- feature extraction
- order statistics
- theoretical analysis
- low dimensional
- dimensionality reduction
- significant improvement
- learning algorithm
- feature vectors
- benchmark datasets
- singular value decomposition
- feature space
- computational complexity
- eigendecomposition
- optimization criteria
- error minimization