ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data.
Peter GruberAnke Meyer-BäseSimon Y. FooFabian J. TheisPublished in: Eng. Appl. Artif. Intell. (2009)
Keyphrases
- kernel methods
- component analysis
- blind source separation
- independent component analysis
- factor analysis
- negative matrix factorization
- kernel function
- support vector
- machine learning
- feature space
- support vector machine
- signal processing
- non stationary
- linear transform
- kernel matrix
- principal component analysis
- kernel pca
- sparse representation
- document clustering
- matrix factorization
- multiple kernel learning
- face recognition
- feature selection
- classification accuracy
- multiscale
- kernel learning
- image processing