Classification of Ophthalmologic Images Using an Ensemble of Classifiers.
Giampaolo L. LibralaoOsvaldo C. P. AlmeidaAndré Carlos Ponce de Leon Ferreira de CarvalhoPublished in: IEA/AIE (2005)
Keyphrases
- multiple classifiers
- image classification
- ensemble classifier
- object category recognition
- final classification
- feature selection
- ensemble learning
- classifier ensemble
- combining classifiers
- svm classifier
- classification systems
- majority voting
- classifier combination
- object recognition
- decision trees
- individual classifiers
- extracted features
- input image
- image features
- classification algorithm
- support vector
- individual features
- classification method
- training set
- training data
- classification rate
- multiple classifier systems
- accurate classifiers
- decision tree classifiers
- machine learning
- class conditional densities
- feature set
- machine learning algorithms
- classification models
- ensemble classification
- feature extraction
- machine learning methods
- combining multiple
- ensemble methods
- accurate classification
- support vector machine svm
- text classification
- classification accuracy
- concept drifting data streams
- class labels
- training samples
- random forests
- supervised classification
- image registration
- probabilistic classifiers
- randomized trees
- minimum distance classifier
- discriminative classifiers
- learning algorithm
- ensemble pruning
- support vector machine
- naive bayes
- weak classifiers
- random forest