Dimensionality reduction and generalization.
Sofia MosciLorenzo RosascoAlessandro VerriPublished in: ICML (2007)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- data representation
- data points
- high dimensional data
- principal component analysis
- dimensionality reduction methods
- pattern recognition and machine learning
- lower dimensional
- manifold learning
- euclidean distance
- principal components
- feature extraction
- structure preserving
- data sets
- feature selection
- random projections
- nonlinear dimensionality reduction
- linear projection
- input data
- real world
- kernel pca
- neural network
- linear dimensionality reduction