Dimensionality reduction via compressive sensing.
Junbin GaoQinfeng ShiTibério S. CaetanoPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- compressive sensing
- dimensionality reduction
- random projections
- sparse representation
- image recovery
- high dimensional data
- high dimensionality
- high dimensional
- principal component analysis
- compressed sensing
- low dimensional
- compressive sampling
- feature extraction
- pattern recognition
- feature space
- signal reconstruction
- feature selection
- unsupervised learning
- linear discriminant analysis
- distributed source coding
- singular value decomposition
- image representation
- dimension reduction
- signal processing
- data points
- data sets
- structured sparsity
- machine learning
- preprocessing
- object recognition
- face recognition
- neural network