FEAST As A Subspace Iteration Eigensolver Accelerated By Approximate Spectral Projection.
Ping Tak Peter TangEric PolizziPublished in: SIAM J. Matrix Anal. Appl. (2014)
Keyphrases
- linear projection
- projection matrix
- null space
- low dimensional
- spectral features
- principal component analysis
- principal components
- high dimensional data
- hyperspectral
- dimensionality reduction
- spectral signatures
- feature space
- data sets
- subspace clusters
- subspace learning
- regularized regression
- subspace clustering
- projection method
- iterative process
- hyperspectral images
- multispectral images
- high dimensional
- objective function
- feature extraction
- face recognition