Decentralized reconstruction from compressive random projections driven by principal components.
James E. FowlerPublished in: EUSIPCO (2015)
Keyphrases
- random projections
- principal components
- compressive sensing
- dimensionality reduction
- principal component analysis
- compressed sensing
- signal reconstruction
- dimension reduction
- image reconstruction
- low dimensional
- sparse representation
- principal component regression
- feature extraction
- high dimensional
- pattern recognition
- singular value decomposition
- high dimensional data
- feature space
- covariance matrix
- linear discriminant analysis
- random sampling
- high dimensionality
- face recognition
- active learning
- signal processing
- data points
- computer vision
- feature selection
- original data
- kernel principal component analysis
- unsupervised learning