Package Boosting for Readaption of Cascaded Classifiers.
Magdalena SzczotJulian ForsterOtto LöhleinGünther PalmPublished in: ICPR (2010)
Keyphrases
- ensemble learning
- weak classifiers
- randomized trees
- face detection
- weak learners
- improving classification accuracy
- adaboost algorithm
- boosting algorithms
- boosting framework
- feature selection
- majority voting
- ensemble classifier
- strong classifier
- boosted classifiers
- ensemble classification
- multiple classifier systems
- decision trees
- decision stumps
- loss function
- training set
- ensemble methods
- accurate classifiers
- multiclass classification
- naive bayes
- test set
- convex combinations
- training examples
- classifier ensemble
- linear classifiers
- weighted voting
- classification algorithm
- training samples
- base classifiers
- classification systems
- classification models
- combining classifiers
- classification trees
- svm classifier
- support vector
- training data
- machine learning algorithms
- multiple classifiers
- supervised classification
- bayesian classifiers
- individual classifiers
- binary classification problems
- combining multiple
- data sets
- machine learning methods
- classification method
- class labels
- linear combination
- object detection
- multi class
- classification accuracy
- pairwise
- learning algorithm