Cascade Support Vector Machines with Dimensionality Reduction.
Oliver KramerPublished in: Appl. Comput. Intell. Soft Comput. (2015)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensionality
- low dimensional
- feature extraction
- high dimensional data
- data representation
- feature selection
- principal component analysis
- pattern recognition and machine learning
- linear discriminant analysis
- pattern recognition
- feature space
- euclidean distance
- random projections
- input space
- structure preserving
- data points
- principal components
- manifold learning
- preprocessing step
- metric learning
- nonlinear dimensionality reduction
- diffusion maps
- sparse representation
- lower dimensional
- linear dimensionality reduction
- linear projection
- multi class
- database
- dimensionality reduction methods
- kernel pca
- neural network
- dimension reduction
- text categorization