Low-Rank Plus Sparse Trajectory Decomposition for Direct Exoplanet Imaging.
Simon VaryHazan DaglayanLaurent JacquesPierre-Antoine AbsilPublished in: ICASSP (2023)
Keyphrases
- low rank
- tensor decomposition
- low rank matrix
- rank minimization
- low rank matrices
- low rank subspace
- nuclear norm
- robust principal component analysis
- missing data
- low rank representation
- convex optimization
- sparsity constraints
- sparse linear
- matrix factorization
- linear combination
- singular value decomposition
- matrix completion
- matrix decomposition
- group sparsity
- high order
- kernel matrices
- low rank approximation
- regularized regression
- high dimensional data
- semi supervised
- image processing
- binary matrices
- high resolution
- kernel matrix
- minimization problems
- trace norm
- tensor factorization
- auxiliary information
- singular values
- approximation methods
- data matrix
- sparse coding
- affinity matrix
- data sets
- sparse matrix
- image classification
- computer vision