A second-order cone programming formulation for nonparallel hyperplane support vector machine.
Miguel CarrascoJulio LópezSebastián MaldonadoPublished in: Expert Syst. Appl. (2016)
Keyphrases
- hyperplane
- support vector machine
- quadratic programming
- support vector
- svm classifier
- feature space
- decision boundary
- linear classifiers
- maximum margin
- kernel function
- standard svm
- training samples
- separating hyperplane
- data points
- input space
- support vector machine svm
- principal components
- multi class
- k nearest neighbor
- linearly separable
- incremental learning algorithm
- knn
- neural network
- weight vector
- convex hull
- convex optimization
- kernel methods
- ls svm
- feature selection
- computer vision
- learning algorithm
- machine learning
- data sets
- image features
- linear svm
- linear separability