Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images.
Valentina SulimovaSergey BukhonovOlga KrasotkinaVadim MottlAnnette SterrKevin WellsDavid WindridgePublished in: MLDM (1) (2019)
Keyphrases
- eeg signals
- image classification
- extracted features
- input image
- visual appearance
- image data
- computer aided diagnosis systems
- pattern recognition
- image database
- image analysis
- image features
- visual data
- signal processing
- feature vectors
- classification accuracy
- web images
- image retrieval
- pigmented skin lesions
- high dimensional
- feature space
- multi modal
- brain computer interface
- image collections
- machine learning
- eeg data
- single modality
- human subjects
- decision rules
- visual features
- support vector
- object recognition
- training set
- neural network
- decision trees
- spatially localized
- feature extraction
- motor imagery
- multiple modalities
- hyperspectral images
- visual information
- image registration
- non stationary
- svm classifier
- gabor filters
- keypoints
- image annotation
- pattern classification