3-D Imaging Under Low-Rank Constraint With Radio Signals.
Ying HeDongheng ZhangQibin SunYan ChenPublished in: MMSP (2022)
Keyphrases
- low rank
- low rank subspace
- convex optimization
- sparsity constraints
- linear combination
- missing data
- low rank matrix
- singular value decomposition
- matrix factorization
- matrix completion
- semi supervised
- high order
- signal processing
- high dimensional data
- rank minimization
- rank constraint
- matrix decomposition
- trace norm
- kernel matrix
- low rank matrices
- robust principal component analysis
- minimization problems
- low rank representation
- neural network
- incomplete data
- non rigid structure from motion
- data matrix
- denoising
- knn
- pattern recognition
- machine learning