-constrained sparse nonnegative least squares.
Nicolas NadisicJeremy E. CohenArnaud VandaeleNicolas GillisPublished in: Mach. Learn. (2022)
Keyphrases
- least squares
- sparse linear
- canonical correlation analysis
- nonnegative matrix factorization
- matrix approximation
- high dimensional
- linear least squares
- parameter estimation
- robust estimation
- tensor factorization
- optical flow
- sparse data
- sparse representation
- linear programming
- sparsity constraints
- singular value decomposition
- data sets
- compressive sensing
- curve fitting
- sparse matrix
- matrix factorization
- dictionary learning
- optimal solution
- objective function
- computer vision
- neural network