Classification of epileptic cerebral activity using robust features and support vector machines.
Chahira MahjoubSahbi ChaibiTarek LajnefAbdennaceur KachouriPublished in: IPAS (2016)
Keyphrases
- support vector
- classification accuracy
- svm classifier
- feature extraction
- feature vectors
- rotational invariant
- svm classification
- classification method
- support vector machine
- feature space
- learning machines
- classification process
- feature set
- classification models
- feature selection
- large margin classifiers
- generalization ability
- eeg signals
- extracted features
- discriminative features
- feature values
- training set
- benchmark datasets
- human brain
- class labels
- pattern recognition
- pattern classification
- feature descriptors
- highly discriminative
- high dimensionality
- training data
- cross validation
- kernel function
- training examples
- feature analysis
- extracting features
- image classification
- decision trees
- feature ranking
- feature subset
- loss function
- reduced set
- textural features
- machine learning
- feature selection algorithms
- cost sensitive
- kernel methods
- false positives
- naive bayes
- support vector machine svm
- model selection
- text classification
- multi class
- image features
- active learning