Estimating Low-Rank Region Likelihood Maps.
Gabriela CsurkaZoltan KatoAndor JuhaszMartin HumenbergerPublished in: CVPR (2020)
Keyphrases
- low rank
- missing data
- convex optimization
- linear combination
- singular value decomposition
- matrix decomposition
- low rank matrix
- matrix factorization
- matrix completion
- rank minimization
- kernel matrix
- semi supervised
- high order
- high dimensional data
- singular values
- maximum likelihood
- minimization problems
- input image
- non rigid structure from motion
- robust principal component analysis
- trace norm
- low rank representation
- low rank matrices
- data matrix
- affinity matrix
- dimensionality reduction
- higher order
- neural network