Approximate minimum norm subspace projection of least squares weights without an SVD.
Mark J. SmithIan K. ProudlerPublished in: ICASSP (1999)
Keyphrases
- least squares
- minimum norm
- subspace projection
- singular value decomposition
- discriminant analysis
- principal component analysis
- feature space
- subspace clusters
- hyperspectral imagery
- component analysis
- face identification
- optical flow
- linear combination
- hyperspectral images
- subspace clustering
- multispectral
- data sets
- feature extraction
- feature selection