TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition.
Xinjun PengPublished in: Pattern Recognit. (2011)
Keyphrases
- pattern recognition
- support vector machine
- soft margin
- decision boundary
- support vector
- maximum margin
- support vector machine svm
- pattern classification
- machine learning
- training set
- svm classifier
- multi class
- image processing
- hyperplane
- image analysis
- generalization ability
- learning machines
- signal processing
- parameter selection
- kernel methods
- dimensionality reduction
- computer vision
- pattern analysis
- feature selection
- pattern recognition problems
- kernel function
- feature extraction
- training data
- feature space
- feature vectors
- parallel distributed processing
- parametric models
- small sample
- graph matching
- radial basis function
- learning algorithm
- support vector regression
- classification algorithm
- linear classifiers
- fuzzy sets
- rough sets
- upper bound
- knn
- moment invariants
- active learning
- decision forest
- data mining
- half spaces
- neural network