Boosting Object Detection Using Feature Selection.
Zehang SunGeorge BebisRonald MillerPublished in: AVSS (2003)
Keyphrases
- feature selection
- object detection
- multi class
- select relevant features
- text categorization
- feature space
- face detection
- computer vision
- mutual information
- feature extraction
- feature selection algorithms
- text classification
- machine learning
- model selection
- high dimensionality
- object class
- classification accuracy
- ensemble learning
- boosted classifiers
- scene understanding
- object recognition
- classification models
- unsupervised feature selection
- decision stumps
- irrelevant features
- information gain
- feature set
- object detection and pose estimation
- support vector machine
- object categories
- method for feature selection
- deformable part models
- background subtraction
- feature weighting
- pedestrian detection
- ensemble classifier
- selected features
- object classification
- feature subset
- base classifiers
- object detectors
- boosting algorithms
- adaboost algorithm
- weak learners
- weak classifiers
- unsupervised learning
- microarray data
- ensemble methods
- knn