Constructing High Dimensional Feature Space for Time Series Classification.
Victor EruhimovVladimir MartyanovEugene TuvPublished in: PKDD (2007)
Keyphrases
- high dimensional feature space
- feature space
- kernel function
- high dimensional feature spaces
- input space
- kernel methods
- high dimensional
- linearly separable
- feature vectors
- dimensionality reduction
- low dimensional
- data points
- hyperplane
- principal component analysis
- gaussian kernel
- feature selection
- nearest neighbor
- lower dimensional
- special case
- support vector