Keyphrases
- dimensionality reduction
- image data
- low dimensional
- high dimensional
- principal component analysis
- high dimensional data
- feature extraction
- pattern recognition
- high dimensionality
- image database
- data points
- lower dimensional
- random projections
- image quality
- preprocessing step
- data representation
- feature space
- principal components
- feature selection
- nonlinear dimensionality reduction
- pattern recognition and machine learning
- singular value decomposition
- data sets
- linear discriminant analysis
- structure preserving
- input space
- raw data
- linear dimensionality reduction
- magnetic resonance
- hyperspectral
- multispectral
- intrinsic dimensionality
- dimensionality reduction methods
- kernel learning
- kernel pca
- euclidean distance
- machine learning
- support vector
- input data
- metric learning
- range data
- image content
- database