Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation.
Dries GeebelenJohan A. K. SuykensJoos VandewallePublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- support vectors
- svm classifier
- number of support vectors
- support vector
- support vector machine
- support vector machine svm
- kernel function
- hyperplane
- image classification
- training set
- feature vectors
- decision boundary
- training samples
- training data
- input space
- linear classifiers
- multiple kernel learning
- training examples
- svm training
- training dataset
- data mining
- knn
- classification accuracy
- svm classification
- feature selection
- machine learning