Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization.
John WrightArvind GaneshShankar R. RaoYiGang PengYi MaPublished in: NIPS (2009)
Keyphrases
- convex optimization
- low rank
- nuclear norm
- norm minimization
- low rank matrix
- low rank and sparse
- matrix completion
- interior point methods
- rank minimization
- primal dual
- total variation
- convex relaxation
- eigendecomposition
- affinity matrix
- low rank approximation
- singular values
- pairwise
- interior point
- kernel matrix
- sparse representation
- generative model