Principal components in time-series modelling.
Derek W. LongMartin BrownChristopher J. HarrisPublished in: ECC (1999)
Keyphrases
- principal components
- multivariate data
- principal component analysis
- principal component regression
- dimensionality reduction
- dynamic time warping
- hyperplane
- non stationary
- kernel space
- feature set
- principal components analysis
- correlation coefficient
- covariance matrix
- dimension reduction
- independent components
- computer vision
- classification accuracy
- feature extraction
- spectral data
- linear features
- high dimensional data