Nonlinear dimensionality reduction for classification using kernel weighted subspace method.
Guang DaiDit-Yan YeungPublished in: ICIP (2) (2005)
Keyphrases
- subspace methods
- nonlinear dimensionality reduction
- support vector
- feature space
- classification accuracy
- dimensionality reduction
- dimensionality reduction methods
- image classification
- linear discriminant analysis
- pattern recognition
- high dimensional data
- benchmark datasets
- feature extraction
- support vector machine
- high dimensionality
- manifold learning
- training set
- feature vectors
- data sets