Training of Classifiers Using Virtual Samples Only.
Annika KuhlLars KrügerChristian WöhlerUlrich KresselPublished in: ICPR (3) (2004)
Keyphrases
- training samples
- training set
- training examples
- test set
- number of training samples
- training data
- optimum path forest
- data sets
- decision boundary
- test sample
- feature space
- training phase
- training dataset
- support vector
- small sample
- trained classifiers
- virtual environment
- virtual world
- virtual reality
- linear svm
- hyperplane
- test data
- labeled training data
- support vector machine
- decision trees
- svm classifier
- classification algorithm
- training set size
- classification performances
- training process
- active learning
- feature selection
- learning algorithm
- training and testing data
- sample selection
- feature selection and classifier
- augmented reality
- unseen data
- data samples
- nearest neighbour
- multi layer perceptron
- class labels
- naive bayes
- labeled data
- supervised learning
- classification accuracy
- neural network