Facial expression recognition using ensemble of classifiers.
Thiago H. H. ZavaschiAlessandro L. KoerichLuiz E. Soares de OliveiraPublished in: ICASSP (2011)
Keyphrases
- ensemble learning
- ensemble pruning
- multiple classifiers
- ensemble classifier
- classifier ensemble
- training data
- majority voting
- final classification
- training set
- ensemble methods
- randomized trees
- multiple classifier systems
- combining classifiers
- feature selection
- weighted voting
- individual classifiers
- class label noise
- majority vote
- ensemble members
- decision trees
- weak learners
- imbalanced data
- decision tree classifiers
- pruning method
- accurate classifiers
- feature ranking
- random forests
- test set
- bias variance decomposition
- diversity measures
- binary classification problems
- trained classifiers
- naive bayes
- concept drifting data streams
- publicly available data sets
- classification systems
- linear classifiers
- rule induction algorithm
- facial expression recognition
- mining concept drifting data streams
- ensemble classification
- svm classifier
- support vector machine
- text categorization
- classifier combination
- classification algorithm
- machine learning methods
- weak classifiers
- base classifiers
- random forest
- learning algorithm
- support vector
- pruning algorithm
- class labels
- classification models
- concept drift
- generalization ability