Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
Hamid DadkhahiMarco F. DuarteBenjamin M. MarlinPublished in: IEEE Trans. Image Process. (2017)
Keyphrases
- dimensionality reduction
- low dimensional
- principal component analysis
- data representation
- high dimensional data
- high dimensional
- dynamic time warping
- pattern recognition
- non stationary
- feature extraction
- dimensionality reduction methods
- high dimensionality
- linear discriminant analysis
- dimension reduction
- principal components
- pattern recognition and machine learning
- feature selection
- input space
- noisy data
- feature space
- linear dimensionality reduction
- nonlinear dimensionality reduction
- data mining tasks
- chronic hepatitis
- metric learning
- manifold learning
- stock market
- data points
- pairwise
- face recognition