Classification of human viewers using high-resolution EEG with SVM.
Philip DavisCharles D. CreusereJim KrogerPublished in: ACSSC (2014)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification algorithm
- high resolution
- svm classifier
- classification method
- eeg signals
- pattern recognition
- feature selection
- feature vectors
- svm classification
- machine learning
- feature extraction
- knn
- generalization ability
- improves the classification accuracy
- low resolution
- multi class classification
- decision boundary
- multi class
- decision trees
- training process
- multi class svm
- high classification accuracy
- structured output
- sleep stage
- classification accuracy
- cost sensitive
- feature space
- pattern classification
- training data
- machine learning algorithms
- kernel function
- motor imagery
- image classification
- training set
- support vectors
- maximum margin
- k nearest neighbor
- model selection
- unbalanced data
- partially supervised
- histogram intersection kernel