Least squares twin parametric-margin support vector machine for classification.
Yuan-Hai ShaoZhen WangWei-Jie ChenNai-Yang DengPublished in: Appl. Intell. (2013)
Keyphrases
- support vector machine
- least squares
- support vector
- decision boundary
- svm classifier
- soft margin
- support vector machine svm
- feature vectors
- training set
- classification algorithm
- feature space
- classification method
- generalization ability
- hyperplane
- small sample
- decision trees
- feature selection
- svm classification
- maximum margin
- structured output
- k nearest neighbor
- pattern classification
- multi class
- objective function
- machine learning
- image classification
- multiclass classification
- ls svm
- cross validation
- classification accuracy
- pattern recognition
- high classification accuracy
- feature extraction
- kernel function
- robust estimation
- multi class support vector machines
- binary classification
- classification scheme
- cost sensitive
- radial basis function
- data sets
- training samples
- model selection
- optical flow
- training data
- neural network