Classifier variability: Accounting for training and testing.
Weijie ChenBrandon D. GallasWaleed A. YousefPublished in: Pattern Recognit. (2012)
Keyphrases
- testing phase
- training set
- training process
- training samples
- training examples
- training phase
- test set
- learning phase
- test data
- training data
- labeled training data
- boosted classifiers
- supervised training
- training stage
- training dataset
- face detection
- training and test data
- discriminative classifiers
- classification performances
- svm classifier
- supervised learning
- support vector machine
- feature selection and classifier
- training set size
- classifier training
- software product line
- training procedure
- feature selection
- ground truth labels
- intra class
- feature space
- classification algorithm
- classification method
- classification scheme
- linear classifiers
- labeled images
- multi layer perceptron
- classification process
- class labels
- sample selection bias
- avoid overfitting
- feature set
- sufficient training data
- classifier ensemble
- fully labeled
- support vector