Nonconvex Low-Rank Sparse Factorization for Image Segmentation.
Xiaoping LiWeiwei WangAmir RaziTao LiPublished in: CIS (2015)
Keyphrases
- low rank
- low rank matrices
- robust principal component analysis
- image segmentation
- convex optimization
- low rank matrix
- missing entries
- nuclear norm
- matrix factorization
- singular value decomposition
- matrix completion
- missing data
- low rank subspace
- rank minimization
- linear combination
- low rank representation
- kernel matrix
- low rank matrix recovery
- matrix decomposition
- low rank and sparse
- non rigid structure from motion
- high order
- high dimensional data
- regularized regression
- trace norm
- data matrix
- semi supervised
- markov random field
- singular values
- image processing
- level set
- graph cuts
- factorization methods
- affinity matrix
- norm minimization
- tensor decomposition
- minimization problems
- computer vision
- interior point methods
- nonnegative matrix factorization
- low rank approximation
- measurement matrix
- nearest neighbor
- small number
- feature extraction