Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context.
Arnaud BreloyGuillaume GinolhacFrédéric PascalPhilippe ForsterPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- low rank
- missing data
- regularized regression
- rank minimization
- low rank representation
- high dimensional data
- signal subspace
- matrix factorization
- convex optimization
- low rank matrix
- eigendecomposition
- linear combination
- matrix completion
- singular value decomposition
- kernel matrix
- high order
- matrix decomposition
- feature extraction
- semi supervised
- low dimensional
- principal component analysis
- non rigid structure from motion
- low rank matrices
- singular values
- trace norm
- missing values
- input data
- dimensionality reduction