Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints.
Van Ha TangAbdesselam BouzerdoumSon Lam PhungFok Hing Chi TivivePublished in: ICASSP (2016)
Keyphrases
- low rank
- sparsity constraints
- matrix factorization
- convex optimization
- singular value decomposition
- linear combination
- missing data
- synthetic aperture
- semi supervised
- high dimensional data
- high order
- kernel matrix
- target detection
- feature selection
- sparse representation
- denoising
- low dimensional
- dimensionality reduction
- total variation
- higher order
- collaborative filtering
- least squares
- probabilistic model
- nonnegative matrix factorization
- pairwise
- image processing