Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces.
Tom TirerRaja GiryesPublished in: CoRR (2017)
Keyphrases
- low dimensional
- linear subspace
- high dimensional
- high dimensional data
- principal component analysis
- dimensionality reduction
- signal processing
- subspace learning
- data points
- dimension reduction
- feature space
- subspace methods
- manifold learning
- graph embedding
- image space
- pattern recognition
- face recognition
- computer vision
- high dimensionality
- multiple views
- image retrieval
- data sets