Training Effective Node Classifiers for Cascade Classification
Chunhua ShenPeng WangSakrapee PaisitkriangkraiAnton van den HengelPublished in: CoRR (2013)
Keyphrases
- boosted classifiers
- training set
- training samples
- classification algorithm
- decision trees
- support vector
- face detection
- classification method
- classification systems
- test set
- classification accuracy
- classification performances
- classification process
- accurate classifiers
- decision boundary
- class labels
- multi layer perceptron
- supervised learning
- accurate classification
- feature selection
- training phase
- svm classifier
- supervised classification
- classification models
- sufficient training data
- classification rate
- improves the classification accuracy
- probabilistic classifiers
- text classifiers
- trained classifiers
- machine learning methods
- linear svm
- machine learning
- multiclass classification
- feature set
- majority voting
- object detection
- classifier combination
- classification procedure
- binary classifiers
- rule based classifier
- multi class
- training process
- naive bayes
- discriminative classifiers
- support vector machine
- multiple classifiers
- feature space
- weak classifiers
- optimum path forest
- training examples
- classifier training
- improving classification accuracy
- multiple classifier systems
- k nearest neighbour
- machine learning algorithms
- support vector machine svm
- text classification
- image classification
- feature extraction
- object detectors
- training dataset
- co training
- multi category
- text categorization
- feature vectors
- training data