Kernel nonnegative matrix factorization for spectral EEG feature extraction.
Hyekyoung LeeAndrzej CichockiSeungjin ChoiPublished in: Neurocomputing (2009)
Keyphrases
- nonnegative matrix factorization
- feature extraction
- principal component analysis
- normalized cut
- feature space
- probabilistic latent semantic indexing
- negative matrix factorization
- spectral features
- spectral clustering
- matrix factorization
- data representation
- kernel pca
- least squares
- kernel function
- nonnegative matrix
- original data
- kernel methods
- image classification
- feature selection
- feature vectors
- sparsity constraints
- dimensionality reduction
- document clustering
- support vector
- face recognition
- signal processing
- pattern recognition
- sparse representation
- image processing
- pairwise
- data mining
- eeg data
- image segmentation
- multiscale
- semi supervised
- co occurrence
- image representation
- low dimensional
- data sets