The Maximum Vector-Angular Margin Classifier and its fast training on large datasets using a core vector machine.
Wenjun HuKorris Fu-Lai ChungShitong WangPublished in: Neural Networks (2012)
Keyphrases
- training set
- training dataset
- core vector machine
- support vector machine
- training examples
- support vector
- training process
- ground truth labels
- training samples
- linear svm
- training data
- decision boundary
- kernel methods
- training error
- accurate classifiers
- sufficient training data
- test set
- feature space
- feature selection and classifier
- decision trees
- labeled training data
- multi layer perceptron
- training phase
- discriminative classifiers
- neural network
- classification algorithm
- svm classifier
- feature selection
- data sets
- classification method
- text classifiers
- training and testing data
- classifier training
- soft margin
- labeled images
- classification accuracy
- maximum margin
- image processing
- supervised training
- learning algorithm
- generalization error
- naive bayes nearest neighbor
- standard svm
- feature vectors
- object detection
- text classification
- benchmark datasets
- support vectors
- test data
- feature selection algorithms