Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
Sang-Woon KimB. John OommenPublished in: Australian Conference on Artificial Intelligence (2004)
Keyphrases
- kernel based nonlinear
- search methods
- subspace methods
- hyperspectral imagery
- search algorithm
- feature space
- kernel function
- metaheuristic
- principal component analysis
- low dimensional
- kernel trick
- linear discriminant analysis
- support vector
- training data
- feature selection
- input data
- benchmark datasets
- dimensionality reduction
- linear subspace
- face recognition
- feature set
- multi objective
- feature vectors
- hyperspectral
- decision trees