AdaTree: Boosting a Weak Classifier into a Decision Tree.
Etienne GrossmannPublished in: CVPR Workshops (2004)
Keyphrases
- weak classifiers
- decision trees
- training set
- strong classifier
- linear combination
- adaboost algorithm
- boosting algorithms
- training samples
- decision stumps
- ensemble classifier
- weak learners
- machine learning
- decision tree algorithm
- object class
- naive bayes
- training data
- logistic regression
- classification error
- face detector
- machine learning algorithms
- random forest
- base classifiers
- image patches
- mean shift
- random forests
- decision rules
- cross validation
- ensemble methods
- supervised learning
- viewpoint
- object recognition
- face detection
- classification accuracy
- support vector machine
- face images
- decision forest
- feature extraction
- higher order