Maximizing pattern separation in discretizing continuous features for classification purposes.
Enrico FerrariMarco MuselliPublished in: IJCNN (2010)
Keyphrases
- classification accuracy
- feature extraction
- feature set
- feature vectors
- feature space
- classification method
- classification process
- pattern representation
- svm classifier
- benchmark datasets
- pattern recognition
- classification models
- extracted features
- class labels
- support vector machine svm
- features extraction
- extracting features
- machine learning
- svm classification
- naive bayes classifier
- feature analysis
- automatic classification
- pattern classification
- classification algorithm
- decision trees
- pattern matching
- feature extraction and classification
- co occurrence
- supervised learning
- image features
- feature reduction
- gender classification
- feature construction
- high dimensionality
- decision tree classifiers
- discriminative features
- feature values
- feature selection algorithms
- support vector machine
- neural network
- weak classifiers
- feature representation
- discrete space
- feature subset
- data sets
- training samples
- preprocessing