Multi-class assembly parts recognition using composite feature and random forest for robot programming by demonstration.
Yabiao WangRong XiongJunnan WangJiafan ZhangPublished in: ROBIO (2015)
Keyphrases
- multi class
- random forest
- feature importance
- feature set
- base classifiers
- random forests
- feature selection
- pairwise
- multi class classification
- binary classification
- support vector machine
- feature vectors
- multi label
- object detection
- ensemble learning
- decision trees
- ensemble methods
- fold cross validation
- cost sensitive
- multiple classes
- error correcting output codes
- image features
- multi class boosting
- classification accuracy
- multi class classifier
- binary classifiers
- higher order
- k nearest neighbor
- feature space
- image segmentation
- image processing