Representative training sets for classification and the variability of empirical distributions.
Saaid BaratyDan A. SimoviciPublished in: EGC (2014)
Keyphrases
- training set
- classification accuracy
- supervised learning
- decision trees
- pattern recognition
- training samples
- classification method
- support vector machine svm
- support vector
- decision rules
- cross validation
- image classification
- classification algorithm
- class labels
- feature selection
- svm classifier
- classification rules
- automatic classification
- classification process
- training examples
- support vector machine
- active learning
- feature vectors
- feature extraction
- face recognition
- image features
- artificial neural networks
- machine learning methods
- pattern classification
- classification scheme
- object classification
- neural network
- random selection