Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems.
Prudhvi GurramHeesung KwonPublished in: IEEE Trans. Geosci. Remote. Sens. (2013)
Keyphrases
- ensemble learning
- hyperspectral
- kernel methods
- remote sensing
- infrared
- generalization ability
- support vector
- learning machines
- ensemble methods
- kernel machines
- support vector machine
- kernel function
- high dimensional
- feature selection
- concept drift
- machine learning
- prediction accuracy
- unlabeled data
- principal component analysis
- base classifiers
- feature space
- decision trees
- benchmark datasets
- support vector machine svm
- change detection
- random forest
- image registration
- semi supervised
- image analysis