1-Norm least squares twin support vector machines.
Shangbing GaoQiaolin YeNing YePublished in: Neurocomputing (2011)
Keyphrases
- least squares
- support vector
- learning machines
- large margin classifiers
- ls svm
- sparse linear
- optical flow
- maximum margin
- kernel methods
- decision function
- tikhonov regularization
- kernel function
- support vector machine
- parameter estimation
- classification accuracy
- robust estimation
- support vector regression
- hyperplane
- support vectors
- svm classifier
- loss function
- multi class
- feature selection
- singular value decomposition
- learning algorithm
- logistic regression
- regression model
- image restoration
- image registration
- canonical correlation analysis
- curve fitting
- hilbert space
- generalization bounds
- high dimensional
- feature space