Low-Rank Preserving Projection Via Graph Regularized Reconstruction.
Jie WenNa HanXiaozhao FangLunke FeiKe YanShanhua ZhanPublished in: IEEE Trans. Cybern. (2019)
Keyphrases
- low rank
- ell norm
- trace norm
- sparsity constraints
- matrix factorization
- low rank and sparse
- convex optimization
- missing data
- linear combination
- non rigid structure from motion
- singular value decomposition
- matrix completion
- high dimensional data
- low rank matrix
- semi supervised
- matrix decomposition
- kernel matrix
- compressive sensing
- rank minimization
- weighted graph
- high resolution
- binary matrices
- minimization problems
- discrete tomography
- reconstruction error
- high order
- affinity matrix
- image reconstruction
- low rank matrices
- robust principal component analysis
- stereo reconstruction
- interior point methods
- least squares
- compressed sensing
- nearest neighbor
- singular values