Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach.
Hyun-Seo AhnSunghong ParkJong Chul YePublished in: CoRR (2018)
Keyphrases
- low rank
- singular value decomposition
- rank minimization
- convex optimization
- matrix decomposition
- matrix factorization
- missing data
- linear combination
- low rank matrix
- non rigid structure from motion
- trace norm
- semi supervised
- matrix completion
- kernel matrix
- singular values
- factorization methods
- high order
- high dimensional data
- nuclear norm
- low rank and sparse
- robust principal component analysis
- frobenius norm
- image reconstruction
- low rank matrices
- kernel matrices
- data matrix
- reconstruction error
- data sets
- binary matrices
- high dimensional
- high resolution
- least squares
- natural images
- affinity matrix
- low rank approximation
- input image
- binary matrix
- dimensionality reduction
- pattern recognition
- machine learning
- compressive sensing