High-Dimensional Generalized Orthogonal Matching Pursuit With Singular Value Decomposition.
Zhaoyun ZongTing FuXingyao YinPublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- singular value decomposition
- high dimensional
- dimensionality reduction
- orthogonal matching pursuit
- dimension reduction
- sparse representation
- singular values
- least squares
- compressed sensing
- high dimensional data
- principal component analysis
- random projections
- low dimensional
- data points
- high dimensionality
- compressive sensing
- feature space
- sparse coding
- similarity search
- feature selection
- sparse approximation
- data sets
- transform domain
- variable selection
- gene expression data
- linear discriminant analysis
- feature extraction
- optical flow