An Overflow Free Fixed-point Eigenvalue Decomposition Algorithm: Case Study of Dimensionality Reduction in Hyperspectral Images.
Bibek KabiAnand S. SahadevanTapan PradhanPublished in: CoRR (2017)
Keyphrases
- fixed point
- decomposition algorithm
- hyperspectral images
- dimensionality reduction
- hyperspectral
- decomposition method
- hyperspectral data
- remote sensing
- working set
- random projections
- low dimensional
- principal component analysis
- multispectral
- dynamical systems
- feature extraction
- sufficient conditions
- high dimensional
- high dimensional data
- pattern recognition
- belief propagation
- feature space
- least squares
- principal components
- data points
- multispectral images
- graphical models
- data model
- target detection
- recognition algorithm
- input space
- neural network
- remote sensing images
- pairwise