Sparse least square twin support vector machine with adaptive norm.
Zhiqiang ZhangLing ZhenNaiyang DengJunyan TanPublished in: Appl. Intell. (2014)
Keyphrases
- least squares
- support vector machine
- high dimensional
- lp norm
- sparse data
- robust principal component analysis
- objective function
- multi class
- support vector
- low rank matrices
- denoising
- kernel methods
- regularized least squares
- reduced set
- support vector machine svm
- norm regularization
- canonical correlation analysis
- small sample
- neural network
- optical flow
- feature space
- computer vision