A Hybrid Fuzzy Cognitive Map/Support Vector Machine Approach for EEG-Based Emotion Classification Using Compressed Sensing.
Kairui GuoRifai ChaiHenry CandraYing GuoRong SongHung T. NguyenSteven W. SuPublished in: Int. J. Fuzzy Syst. (2019)
Keyphrases
- compressed sensing
- cognitive map
- emotion classification
- support vector machine
- image reconstruction
- signal processing
- emotion recognition
- random projections
- syntactic analysis
- lexical features
- sparse representation
- sentence level
- virtual humans
- natural images
- feature selection
- machine learning
- support vector
- fuzzy cognitive maps
- training data
- feature vectors
- kernel function
- data sets
- knn
- dimension reduction
- student model
- emotional state
- semi supervised
- training set
- feature space
- image processing