A descent method for least absolute deviation lasso problems.
Yue ShiZhiguo FengKa Fai Cedric YiuPublished in: Optim. Lett. (2019)
Keyphrases
- high precision
- detection method
- synthetic data
- clustering method
- significant improvement
- search methods
- optimization algorithm
- similarity measure
- feature set
- prior knowledge
- classification accuracy
- high accuracy
- computational cost
- graph cuts
- cost function
- optical flow
- feature vectors
- segmentation method
- classification method
- high dimensional
- feature selection
- heuristic methods
- alternative methods