A unified learning framework for object detection and classification using nested cascades of boosted classifiers.
Rodrigo VerschaeJavier Ruiz-del-SolarMauricio CorreaPublished in: Mach. Vis. Appl. (2008)
Keyphrases
- object detection
- boosted classifiers
- supervised learning
- support vector
- multi category
- learning algorithm
- discriminative learning
- incremental learning
- data sets
- object detectors
- reinforcement learning
- active learning
- feature selection
- image classification
- face detection
- text classification
- object classification
- decision rules
- cross validation
- decision trees
- feature vectors
- pairwise
- feature extraction