An Ensemble of Classifiers Approach to Steganalysis.
Sevinc BayramAhmet Emir DirikHusrev T. SencarNasir D. MemonPublished in: ICPR (2010)
Keyphrases
- ensemble learning
- ensemble classifier
- multiple classifiers
- classifier ensemble
- training data
- ensemble pruning
- training set
- majority voting
- final classification
- class label noise
- multiple classifier systems
- individual classifiers
- weighted voting
- randomized trees
- decision tree classifiers
- majority vote
- feature selection
- ensemble methods
- combining classifiers
- accurate classifiers
- bias variance decomposition
- decision trees
- support vector
- ensemble members
- diversity measures
- imbalanced data
- weak learners
- weak classifiers
- ensemble classification
- base classifiers
- concept drifting data streams
- feature set
- trained classifiers
- classifier combination
- naive bayes
- learning algorithm
- machine learning algorithms
- pruning method
- mining concept drifting data streams
- data hiding
- jpeg images
- publicly available data sets
- neural network
- machine learning methods
- random forest
- random forests
- linear classifiers
- classification systems
- discrete cosine transform
- machine learning
- concept drift
- rule induction algorithm
- knn
- fusion methods
- svm classifier
- class labels
- feature ranking