A fast approach for dimensionality reduction with image data.
Mónica BenitoDaniel PeñaPublished in: Pattern Recognit. (2005)
Keyphrases
- dimensionality reduction
- image data
- high dimensional data
- principal component analysis
- high dimensional
- image quality
- manifold learning
- high dimensionality
- pattern recognition and machine learning
- data representation
- data points
- low dimensional
- range data
- principal components
- image database
- pattern recognition
- feature extraction
- structure preserving
- feature selection
- input space
- linear discriminant analysis
- multispectral
- preprocessing step
- lower dimensional
- dimensionality reduction methods
- random projections
- intrinsic dimensionality
- kernel learning
- magnetic resonance
- mr images
- diffusion maps
- raw data
- database
- feature space
- computer vision
- singular value decomposition
- metric learning
- hyperspectral
- microarray
- sparse representation
- real time