Recursive least squares projection twin support vector machines for nonlinear classification.
Shifei DingXiaopeng HuaPublished in: Neurocomputing (2014)
Keyphrases
- support vector
- recursive least squares
- support vector machine
- generalization ability
- feature selection
- image classification
- feature vectors
- feature extraction
- pattern recognition
- feature space
- neural network
- support vector machine svm
- machine learning
- motion estimation
- super resolution
- kernel function
- linear systems