Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization.
Canyi LuJiashi FengYudong ChenWei LiuZhouchen LinShuicheng YanPublished in: CVPR (2016)
Keyphrases
- low rank
- robust principal component analysis
- convex optimization
- low rank matrix recovery
- high order
- trace norm
- low rank and sparse
- low rank matrix
- matrix completion
- kernel matrix
- interior point methods
- higher order
- total variation
- rank minimization
- nuclear norm
- convex relaxation
- primal dual
- norm minimization
- data matrix
- minimization problems
- singular values
- pairwise
- affinity matrix
- image processing