Sparse dimensionality reduction based on compressed sensing.
Yufang TangXueming LiYang LiuJizhe WangYan XuPublished in: WCNC (2014)
Keyphrases
- compressed sensing
- dimensionality reduction
- random projections
- sparse representation
- image reconstruction
- principal component analysis
- compressive sensing
- high dimensional data
- high dimensional
- feature extraction
- compressive sampling
- pattern recognition
- high dimensionality
- low dimensional
- data points
- natural images
- signal recovery
- feature selection
- dimension reduction
- preprocessing step
- orthogonal matching pursuit
- singular value decomposition
- linear discriminant analysis
- signal processing
- neural network
- feature space
- sparse coding
- original data
- image classification
- text mining
- random sampling
- document clustering
- pairwise
- active learning