Incremental Hyperplane Partitioning for Classification.
Tao YangSheng-Uei GuanJinghao SongBinge ZhengMengying CaoTianlin YuPublished in: Int. J. Appl. Evol. Comput. (2013)
Keyphrases
- hyperplane
- support vector
- training samples
- classification procedure
- decision boundary
- feature space
- support vector machine
- incremental learning
- svm classifier
- linearly separable
- data points
- pattern recognition
- incremental learning algorithm
- principal direction
- sample space
- supervised learning
- linear classifiers
- kernel function
- linear svm
- classification accuracy
- maximal margin
- image classification
- input space
- decision trees
- machine learning
- support vector machine svm
- pattern classification
- feature vectors
- feature selection
- linear separability
- support vectors
- function approximation
- convex hull
- model selection
- dimensionality reduction
- training set
- learning algorithm