Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification.
Prudhvi GurramHeesung KwonPublished in: WHISPERS (2012)
Keyphrases
- feature space
- sparse kernel
- hyperspectral
- support vector
- hyperspectral images
- supervised learning
- classification accuracy
- hyperspectral data
- remote sensing
- unsupervised learning
- support vector machine
- feature vectors
- machine learning
- learning tasks
- kernel learning
- kernel machines
- learning algorithm
- training set
- large margin classifiers
- multispectral
- kernel methods
- decision trees
- dimension reduction
- face recognition
- feature extraction
- pattern recognition
- feature selection
- training samples
- hyperspectral imagery
- high dimensional feature space
- supervised classification
- input space
- high dimensionality
- learning problems
- active learning
- feature set
- kernel function