Supervised Approach to Sky and Ground Classification Using Whiteness-Based Features.
Flávia de MattosArlete Teresinha BeurenBruno Miguel Nogueira de SouzaAlceu de Souza Britto Jr.Jacques FaconPublished in: MICAI (2) (2017)
Keyphrases
- feature vectors
- classification accuracy
- feature set
- feature extraction
- classification method
- classification process
- classification models
- feature space
- feature selection
- extracted features
- supervised learning
- class labels
- benchmark datasets
- text classification
- svm classifier
- supervised classifiers
- pattern recognition
- high dimensionality
- decision trees
- machine learning
- feature construction
- unsupervised learning
- low level
- image features
- feature selection algorithms
- feature weights
- extracting features
- support vector machine svm
- eeg signals
- unsupervised methods
- feature reduction
- feature analysis
- label information
- supervised classification
- image classification
- learning algorithm
- data sets
- classification scheme
- features extraction
- automatic classification
- pattern classification
- preprocessing
- classification algorithm