Optimal sampling using singular value decomposition of the parameter variance space.
Dan O. PopaArthur C. SandersonVadiraj HombalRick KomerskaSai S. MupparapuD. Richard BlidbergSteven G. ChappellPublished in: IROS (2005)
Keyphrases
- singular value decomposition
- parameter space
- low rank approximation
- singular values
- null space
- reconstruction error
- least squares
- dimensionality reduction
- latent semantic indexing
- dimension reduction
- low rank
- principal component analysis
- low dimensional
- high dimensional
- low rank matrices
- neural network
- estimation error
- face recognition