Keyphrases
- dimension reduction
- principal component analysis
- image features
- principle component analysis
- feature extraction
- nonlinear manifold
- principal components
- low dimensional
- high dimensional
- input image
- dimensionality reduction
- image classification
- feature representation
- manifold learning
- image data
- random projections
- high dimensional problems
- singular value decomposition
- linear discriminant analysis
- feature space
- image segmentation
- feature selection
- high dimensionality
- dimension reduction methods
- similarity measure
- high dimensional data
- unsupervised learning
- feature set
- face images