Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit.
Chong YouDaniel P. RobinsonRené VidalPublished in: CVPR (2016)
Keyphrases
- subspace clustering
- orthogonal matching pursuit
- signal recovery
- sparse representation
- high dimensional data
- compressed sensing
- transform domain
- sparse approximation
- compressive sensing
- clustering method
- subspace clusters
- high dimensional
- clustering algorithm
- feature selection
- greedy algorithm
- dimensionality reduction
- sparse coding
- subspace projections
- image reconstruction
- spatial domain
- nearest neighbor
- data sets
- linear combination
- low dimensional
- high dimensionality
- random projections
- dimension reduction
- image representation
- data analysis
- neural network