Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines.
Takuya KitamuraShigeo AbeYusuke TanakaPublished in: ICMLA (1) (2011)
Keyphrases
- kernel based nonlinear
- subspace methods
- kernel function
- support vector
- linear discriminant analysis
- support vector machine
- principal component analysis
- feature space
- subspace analysis
- face recognition
- hyperspectral imagery
- feature extraction
- dimensionality reduction
- object detection
- low dimensional
- image classification
- benchmark datasets
- kernel methods
- ensemble methods
- lower dimensional
- kernel pca
- data points
- classification accuracy
- video sequences