Steganalysis in High-Dimensional Feature Space Using Selective Ensemble Classifiers.
Bin ChenGuorui FengFengyong LiPublished in: IFTC (2012)
Keyphrases
- high dimensional feature space
- ensemble classifier
- kernel function
- feature space
- support vector machine
- input space
- kernel methods
- feature vectors
- ensemble learning
- high dimensional
- ensemble methods
- random forest
- concept drift
- base classifiers
- feature selection
- low dimensional
- dimensionality reduction
- classification models
- preprocessing step
- data points
- fusion method
- decision trees
- principal component analysis
- support vector
- weak classifiers
- training set
- computer vision
- high dimensional data
- multi class
- feature set
- generalization ability
- pairwise
- feature extraction
- support vector machine svm
- neural network