A Nonlinear Principal Component Analysis of Image Data.
Ryo SaegusaHitoshi SakanoShuji HashimotoPublished in: IEICE Trans. Inf. Syst. (2005)
Keyphrases
- image data
- principal component analysis
- kernel pca
- kernel principal component analysis
- linear dimensionality reduction
- dimensionality reduction
- independent component analysis
- principal components
- covariance matrix
- range data
- face recognition
- high dimensional feature space
- feature space
- image quality
- dimension reduction
- multispectral
- face images
- complementarity problems
- nonlinear models
- lower dimensional
- biomedical images
- neural network
- discriminant analysis
- input data
- low dimensional
- raw data
- linear discriminant analysis
- magnetic resonance
- piecewise linear
- singular value decomposition
- signal processing
- video sequences
- feature extraction
- nonlinear equations
- image sequences
- database