Fast pruning superfluous support vectors in SVMs.
Xun LiangYuefeng MaYang Bo HeLi YuRong-Chang ChenTao LiuXiaoping YangTung-Shou ChenPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- support vectors
- support vector
- number of support vectors
- support vector machine
- kernel function
- svm classifier
- input space
- training samples
- decision functions
- training data
- hyperplane
- reduced set
- training examples
- kernel matrix
- training dataset
- decision boundary
- training process
- linear svm
- svm training
- decision function
- svm classification
- hyper sphere
- kernel methods
- ls svm
- learning algorithm
- active learning
- training set
- image processing
- hyperparameters
- semi supervised
- multi class
- data points
- prior knowledge
- feature space
- pattern recognition
- similarity measure