lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers
Gilad LermanTeng ZhangPublished in: CoRR (2010)
Keyphrases
- low rank representation
- high dimensional data
- subspace clusters
- high dimensional
- linear programming
- low dimensional
- linear subspace
- lower dimensional
- feature space
- linear projection
- principal component analysis
- arbitrarily oriented
- outlier detection
- nearest neighbor
- low rank
- dimensionality reduction
- data points
- objective function
- feature extraction