Automatic selection of features for classification using genetic programming.
Jamie SherrahRobert E. BognerAbdesselam BouzerdoumPublished in: ANZIIS (1996)
Keyphrases
- automatic selection
- feature vectors
- classification accuracy
- feature set
- feature extraction
- classification models
- classification method
- classification process
- feature space
- extracted features
- input features
- svm classifier
- automatic classification
- benchmark datasets
- co occurrence
- discriminating features
- image classification
- extracting features
- feature weights
- pattern recognition
- high dimensionality
- feature analysis
- class labels
- supervised learning
- gender classification
- support vector machine
- svm classification
- feature subset
- low level
- textural features
- support vector machine svm
- feature representation
- feature values
- features extraction
- irrelevant features
- texture analysis
- classification rate
- machine learning
- training set
- training samples
- image features
- feature selection
- machine learning approaches
- correct classification rate
- feature extraction and classification
- decision tree classifiers
- support vector
- preprocessing
- multiple classifiers
- naive bayes
- machine learning algorithms
- feature construction
- false positives
- gabor filters
- discriminative features