Training Effective Node Classifiers for Cascade Classification.
Chunhua ShenPeng WangSakrapee PaisitkriangkraiAnton van den HengelPublished in: Int. J. Comput. Vis. (2013)
Keyphrases
- boosted classifiers
- training set
- training samples
- classification algorithm
- classification method
- classification systems
- classification models
- support vector
- classification accuracy
- discriminative classifiers
- test set
- decision trees
- training phase
- accurate classification
- svm classifier
- class labels
- supervised classification
- weak classifiers
- multi layer perceptron
- classification performances
- face detection
- accurate classifiers
- feature set
- supervised learning
- improves the classification accuracy
- k nearest neighbour
- training examples
- object detection
- classification process
- decision boundary
- classification rate
- majority voting
- image classification
- optimum path forest
- rule based classifier
- sufficient training data
- improving classification accuracy
- classifier training
- machine learning methods
- support vector machine svm
- probabilistic classifiers
- training data
- higher classification accuracy
- classifier combination
- linear svm
- machine learning
- support vector machine
- machine learning algorithms
- ensemble classifier
- multiclass classification
- multiple classifiers
- knn
- classification decisions
- training process
- multi class
- neural network
- feature space
- trained classifiers
- multi category
- classification procedure
- roc curve
- binary classifiers
- multiple classifier systems
- classifier ensemble
- cascade classifier
- class imbalanced
- face recognition
- feature vectors
- text classification
- supervised training
- individual classifiers