Some asymptotic theory for Silverman's smoothed functional principal components in an abstract Hilbert space.
Gamage Pemantha LakrajFrits RuymgaartPublished in: J. Multivar. Anal. (2017)
Keyphrases
- principal components
- hilbert space
- hilbert spaces
- von neumann
- kernel principal component analysis
- principal component analysis
- dimensionality reduction
- infinite dimensional
- covariance matrix
- euclidean space
- continuous functions
- scale spaces
- finite dimensional
- low dimensional
- kernel pca
- hyperplane
- kernel function
- neural network
- multivariate time series
- feature extraction
- decision trees
- computer vision