On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers.
Sang-Woon KimB. John OommenPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2005)
Keyphrases
- kernel based nonlinear
- search methods
- subspace methods
- kernel function
- hyperspectral imagery
- feature space
- search algorithm
- principal component analysis
- subspace clustering
- linear discriminant analysis
- metaheuristic
- kernel trick
- linear subspace
- high dimensional data
- feature selection
- training samples
- low dimensional
- lower dimensional
- dimensionality reduction
- face recognition
- training set
- decision trees
- training data
- multi objective