Density-Convoluted Support Vector Machines for High-Dimensional Classification.
Boxiang WangLe ZhouYuwen GuHui ZouPublished in: IEEE Trans. Inf. Theory (2023)
Keyphrases
- support vector
- high dimensional
- classification accuracy
- support vector machine
- generalization ability
- learning machines
- feature selection
- svm classifier
- large margin classifiers
- kernel function
- classification scheme
- svm classification
- high dimensionality
- image classification
- training samples
- support vectors
- multi class classification
- logistic regression
- classification algorithm
- loss function
- pattern recognition
- feature space
- cross validation
- feature extraction
- kernel methods
- dimensionality reduction
- pattern classification
- feature vectors
- multi class
- margin maximization
- support vector machine svm
- kernel principal component analysis
- variable selection
- classification method
- cost sensitive
- training set
- dimension reduction
- low dimensional
- text classification
- small sample size
- decision function
- decision trees
- neural network