Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification.
Prudhvi GurramHeesung KwonPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- feature space
- sparse kernel
- hyperspectral
- supervised learning
- classification accuracy
- hyperspectral images
- support vector
- kernel function
- hyperspectral data
- feature vectors
- support vector machine
- learning algorithm
- feature selection
- machine learning
- unsupervised learning
- kernel methods
- kernel learning
- high dimensional
- linearly separable
- infrared
- svm classifier
- high dimensionality
- hyperspectral imagery
- high dimensional feature space
- feature extraction
- input space
- learning problems
- remote sensing
- active learning
- pattern recognition
- kernel matrix
- image data
- kernel machines
- mean shift
- training set
- text classification