Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval.
Morteza AshraphijuoXiaodong WangPublished in: Ann. Math. Artif. Intell. (2019)
Keyphrases
- low rank
- high dimensional data
- low rank representation
- linear combination
- low rank approximation
- convex optimization
- matrix factorization
- missing data
- matrix completion
- kernel matrix
- semi supervised
- high order
- singular value decomposition
- rank minimization
- low rank matrix
- matrix decomposition
- affinity matrix
- low rank matrices
- robust principal component analysis
- low dimensional
- dimensionality reduction
- trace norm
- high dimensional
- nearest neighbor
- image retrieval
- non rigid structure from motion
- data points
- principal component analysis
- subspace learning
- active learning
- feature space
- pattern recognition
- feature extraction
- data sets