Synergy between traditional classification and classification based on negative features in deep convolutional neural networks.
Nemanja MilosevicMilos RackovicPublished in: Neural Comput. Appl. (2021)
Keyphrases
- classification accuracy
- feature extraction
- feature vectors
- classification models
- classification method
- support vector
- feature set
- classification process
- automatic classification
- image classification
- feature selection
- decision trees
- svm classifier
- pattern classification
- feature space
- classification scheme
- text classification
- benchmark datasets
- pattern recognition
- features extraction
- preprocessing
- image features
- support vector machine
- feature representation
- classification rate
- class labels
- feature selection algorithms
- high dimensionality
- machine learning methods
- neural network
- support vector machine svm
- classification rules
- extracted features
- object detection
- discriminative features
- extracting features
- training set
- feature weights