Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection.
Chuen-Horng LinHuan-Yu ChenYu-Shung WuPublished in: Expert Syst. Appl. (2014)
Keyphrases
- feature selection
- feature set
- classification accuracy
- feature space
- feature extraction
- genetic algorithm
- feature selection algorithms
- classification models
- feature subset
- feature vectors
- irrelevant features
- image retrieval
- discriminative features
- classification process
- high dimensionality
- informative features
- redundant features
- extracted features
- classification performances
- text classification
- feature subset selection
- selected features
- input features
- feature ranking
- selecting features
- machine learning
- image classification
- support vector machine
- classification method
- svm classifier
- feature selection and classification
- image representation
- support vector
- feature weights
- mutual information
- text categorization
- feature reduction
- wrapper feature selection
- selecting relevant features
- neural network
- feature construction
- bayes classifier
- feature weighting
- support vector machine svm
- image features
- genetic programming
- low level
- unsupervised feature selection
- feature values
- training data
- benchmark datasets
- feature level fusion
- method for feature selection
- class labels
- image content