Sparse recovery by thresholded non-negative least squares.
Martin SlawskiMatthias HeinPublished in: NIPS (2011)
Keyphrases
- least squares
- sparse linear
- high dimensional
- linear least squares
- sparse data
- positive and negative
- canonical correlation analysis
- parameter estimation
- image recovery
- linear regression
- tensor factorization
- sparse representation
- robust estimation
- compressive sensing
- ls svm
- levenberg marquardt
- morphological operations
- singular value decomposition
- gray level
- optical flow
- coefficient matrix
- recovery algorithm
- computer vision
- database
- feature selection