LRSR: Low-Rank-Sparse representation for subspace clustering.
Jun WangDaming ShiDansong ChengYongqiang ZhangJunbin GaoPublished in: Neurocomputing (2016)
Keyphrases
- low rank
- sparse representation
- subspace clustering
- high dimensional data
- dictionary learning
- dimensionality reduction
- high dimensional
- sparse coding
- low dimensional
- nearest neighbor
- matrix completion
- data sets
- high dimensionality
- original data
- low rank matrix recovery
- compressive sensing
- low rank matrix
- data analysis
- negative matrix factorization
- group sparsity
- random projections
- input data
- data points
- norm minimization
- subspace learning
- sparsity constraints
- linear combination
- image classification
- least squares
- linear subspace
- decision trees