An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints.
Qian LiDefeng SunYancheng YuanPublished in: SIAM J. Optim. (2024)
Keyphrases
- least squares
- cost function
- computational cost
- detection method
- optimization problems
- computationally efficient
- clustering method
- similarity measure
- support vector machine svm
- experimental evaluation
- computational complexity
- objective function
- sparse linear
- high accuracy
- feature set
- probabilistic model
- optimization algorithm
- feature selection
- segmentation method
- cross validation
- high precision
- geometric constraints
- sparse matrix