Subspace approximation with applications to system identification.
Mohammed A. HasanAli A. HasanPublished in: ACC (2000)
Keyphrases
- input output
- error bounds
- principal component analysis
- high dimensional data
- approximation error
- subspace learning
- lower dimensional
- subspace clustering
- dimensionality reduction
- low dimensional
- approximation algorithms
- linear subspace
- approximation ratio
- feature space
- clustering high dimensional data
- approximation methods
- genetic algorithm
- kernel based nonlinear
- relative error
- queueing networks
- efficient computation
- high dimensional
- similarity measure
- image sequences