Twin support vector hypersphere (TSVH) classifier for pattern recognition.
Xinjun PengDong XuPublished in: Neural Comput. Appl. (2014)
Keyphrases
- support vector
- pattern recognition
- hyperplane
- svm classifier
- support vector machine
- learning machines
- feature selection
- support vector machine svm
- kernel function
- logistic regression
- machine learning
- linear classifiers
- training examples
- kernel methods
- training data
- neural network
- training set
- classifier combination
- maximum margin
- image processing
- signal processing
- computer vision
- training samples
- image analysis
- cross validation
- binary classification
- support vectors
- generalization ability
- decision trees
- feature extraction
- soft margin
- classification accuracy
- radial basis function
- pattern classification
- rbf kernel
- multi class
- data points
- margin maximization
- classification rate
- classification scheme
- linear discriminant analysis
- feature space
- class labels
- text classification
- feature set
- dimensionality reduction