Accurate Object Detection with Joint Classification-Regression Random Forests.
Samuel SchulterChristian LeistnerPaul WohlhartPeter M. RothHorst BischofPublished in: CVPR (2014)
Keyphrases
- random forests
- regression forests
- regression problems
- tree ensembles
- classification and regression trees
- accurate classifiers
- object detection
- decision trees
- random forest
- machine learning algorithms
- regression trees
- logistic regression
- randomized trees
- support vector
- model selection
- ensemble methods
- classification accuracy
- machine learning
- head pose estimation
- svm classifier
- face detection
- feature extraction
- support vector machine
- multi class
- computer vision
- feature selection
- feature space
- base learners
- single pass
- image classification
- linear regression
- supervised learning
- benchmark datasets
- kernel function
- cost sensitive
- training data
- machine learning methods
- genetic algorithm ga
- cross validation
- data mining
- decision tree ensembles