Kernel Nonnegative Matrix Factorization with Constraint Increasing the Discriminability of Two Classes for the EEG Feature Extraction.
Motoki SakaiPublished in: SITIS (2013)
Keyphrases
- nonnegative matrix factorization
- feature extraction
- principal component analysis
- sparsity constraints
- probabilistic latent semantic indexing
- negative matrix factorization
- feature space
- matrix factorization
- data representation
- kernel function
- nonnegative matrix
- support vector
- spectral clustering
- dimensionality reduction
- least squares
- image processing
- face recognition
- feature vectors
- feature selection
- global constraints
- original data
- kernel methods
- objective function
- image classification
- data sets
- collaborative filtering
- sparse representation
- support vector machine
- data points
- information extraction
- low dimensional
- pattern recognition