Nonlinear Embedded Map Projection for Dimensionality Reduction.
Simone MarinaiEmanuele MarinoGiovanni SodaPublished in: ICIAP (2009)
Keyphrases
- dimensionality reduction
- kernel pca
- linear dimensionality reduction
- linear projection
- low dimensional manifolds
- discriminant projection
- low dimensional
- manifold learning
- nonlinear manifold
- principal component analysis
- high dimensional data
- high dimensionality
- intrinsic dimensionality
- maximum a posteriori
- data representation
- structure preserving
- pattern recognition and machine learning
- embedded systems
- high dimensional
- data points
- linear discriminant analysis
- random projections
- lower dimensional
- feature extraction
- pattern recognition
- nonlinear dimensionality reduction
- graph embedding
- maximum a posteriori probability
- feature selection
- principal components
- multidimensional scaling
- input space
- text categorization
- high dimensional feature space
- face recognition