Supervised projection approach for boosting classifiers.
Nicolás García-PedrajasPublished in: Pattern Recognit. (2009)
Keyphrases
- randomized trees
- feature selection
- supervised classification
- ensemble learning
- learning algorithm
- weak classifiers
- weak learners
- ensemble classifier
- improving classification accuracy
- boosting algorithms
- boosting framework
- accurate classifiers
- strong classifier
- majority voting
- training data
- multiclass classification
- multiple classifier systems
- adaboost algorithm
- ensemble classification
- semi supervised
- random forests
- supervised learning
- machine learning algorithms
- decision stumps
- discriminant projection
- svm classifier
- supervised classifiers
- weighted voting
- machine learning
- classifier training
- base classifiers
- decision trees
- boosted classifiers
- discriminative classifiers
- bayesian classifiers
- training stage
- support vector
- dimensionality reduction
- supervised training
- training set
- training samples
- multiple instance learning
- text categorization
- classifier combination
- generalization error
- support vector machine
- unsupervised learning
- naive bayes
- face detection
- loss function
- ensemble methods
- co training
- combining classifiers
- object detectors
- binary classification problems
- multi class