Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case.
Duc Thien NguyenKonstantinos SlavakisPublished in: ICASSP (2024)
Keyphrases
- manifold learning
- kernel regression
- regression model
- nonlinear manifold
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- dimension reduction
- high dimensional
- feature extraction
- nadaraya watson
- semi supervised
- feature space
- missing values
- missing data
- learning algorithm
- regression methods
- high dimensional data
- support vector machine
- image processing
- closed form
- pattern recognition