A Krylov subspace method for large estimation problems.
Michael K. SchneiderAlan S. WillskyPublished in: ICASSP (1999)
Keyphrases
- estimation problems
- subspace methods
- parameter estimation
- high dimensional
- state estimation
- face recognition
- covariance matrices
- lower dimensional
- linear discriminant analysis
- principal component analysis
- particle filter
- ensemble methods
- support vector machine
- benchmark datasets
- simultaneous localization and mapping
- low dimensional
- feature space
- linear subspace
- support vector
- dimension reduction
- prediction accuracy
- covariance matrix
- data sets
- least squares
- feature selection
- computer vision