Face recognition using interest points and ensemble of classifiers.
A. VinayPratik Rajesh SampatSagar V. BelavadiR. PratikB. S. Nikitha RaoRahul RageshK. N. Balasubramanya MurthyS. NatarajanPublished in: RAIT (2018)
Keyphrases
- ensemble learning
- ensemble classifier
- ensemble pruning
- classifier ensemble
- multiple classifiers
- training data
- training set
- majority voting
- individual classifiers
- final classification
- feature selection
- majority vote
- combining classifiers
- human faces
- decision tree classifiers
- multiple classifier systems
- ensemble classification
- ensemble methods
- face images
- randomized trees
- class label noise
- decision trees
- ensemble members
- one class support vector machines
- weak learners
- svm classifier
- diversity measures
- pruning method
- mining concept drifting data streams
- classifier combination
- accurate classifiers
- rule induction algorithm
- concept drifting data streams
- feature ranking
- imbalanced data
- support vector
- weak classifiers
- classification systems
- random forest
- base classifiers
- neural network
- supervised learning
- generalization ability
- trained classifiers
- classification models
- feature set
- adaboost algorithm
- facial expressions
- test set
- weighted voting
- random forests
- linear classifiers
- machine learning algorithms
- publicly available data sets
- support vector machine
- feature space
- binary classification problems
- learning algorithm