A Support Vector Machines Classifier to Assess the Severity of Idiopathic Scoliosis From Surface Topography.
Lino RamirezNelson G. DurdleV. James RasoDoug L. HillPublished in: IEEE Trans. Inf. Technol. Biomed. (2006)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- svm classifier
- support vector machine
- normal subjects
- feature selection
- shape analysis
- logistic regression
- kernel function
- maximum margin
- support vectors
- svm classification
- multiple kernel learning
- loss function
- multi class
- binary classification
- hyperplane
- training examples
- reduced set
- soft margin
- cross validation
- kernel methods
- decision function
- x ray images
- generalization ability
- margin maximization
- training data
- multi class classification
- training set
- classification accuracy
- support vector machine svm
- decision functions
- rbf kernel
- linear discriminant analysis
- ensemble learning
- radial basis function
- class labels
- training samples
- image classification
- feature set
- active learning
- decision trees