Principal Component Analysis With Complex Kernel: The Widely Linear Model.
Athanasios PapaioannouStefanos ZafeiriouPublished in: IEEE Trans. Neural Networks Learn. Syst. (2014)
Keyphrases
- linear model
- principal component analysis
- least squares
- regression model
- linear models
- feature space
- dimension reduction
- additive model
- nonlinear models
- independent component analysis
- kernel function
- linear discriminant analysis
- discriminant analysis
- singular value decomposition
- kernel pca
- principal components
- machine learning
- covariance matrix
- single image
- dimensionality reduction
- support vector