Subspace-constrained multilinear discriminant analysis for ERP-based brain computer interface classification.
Hiroshi HigashiTomasz M. RutkowskiToshihisa TanakaYuichi TanakaPublished in: APSIPA (2015)
Keyphrases
- discriminant analysis
- discriminant subspace
- feature extraction
- principal component analysis
- fisher linear discriminant analysis
- subspace learning
- discriminant functions
- subspace projection
- fisher criterion
- linear discriminant analysis
- dimensionality reduction methods
- dimensionality reduction
- face recognition
- dimension reduction
- class separability
- kernel discriminant analysis
- canonical correlations
- pattern recognition
- feature space
- kernel principal component analysis
- face space
- factor analysis
- scatter matrices
- decision trees
- subspace methods
- fisher discriminant analysis
- graph embedding
- support vector machine
- principal components
- data mining
- text classification
- support vector
- computer vision
- covariance matrices
- singular value decomposition
- support vector machine svm
- input data
- image processing