Multidimensional signal interpolation based on parametric space dimension reduction.
Mikhail GashnikovPublished in: ISDFS (2019)
Keyphrases
- dimension reduction
- low dimensional
- high dimensional
- principal component analysis
- high dimensional data
- feature extraction
- high dimensional problems
- random projections
- dimensionality reduction
- multidimensional signals
- cluster analysis
- manifold learning
- data mining and machine learning
- variable selection
- partial least squares
- feature space
- linear discriminant analysis
- high dimensionality
- manifold embedding
- feature selection
- singular value decomposition
- signal processing
- unsupervised learning
- lower dimensional
- discriminative information
- dimension reduction methods
- text classification
- semi supervised
- data points
- optical flow
- preprocessing
- image segmentation
- database
- high dimensional data analysis