Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging.
Sunrita PoddarYasir Q. MohsinDeidra AnsahBijoy ThattaliyathRavi AshwathMathews JacobPublished in: IEEE Trans. Computational Imaging (2019)
Keyphrases
- low rank
- kernel matrix
- rank minimization
- kernel matrices
- trace norm
- matrix completion
- matrix factorization
- missing data
- singular value decomposition
- manifold structure
- minimization problems
- convex optimization
- image processing
- kernel function
- low rank matrix
- computer vision
- linear combination
- singular values
- semi supervised
- high dimensional
- pattern recognition