Hyperspectral Image Classification by AdaBoost with Decision Stumps Based on Composed Feature Variables.
Shuji KawaguchiRyuei NishiiPublished in: IGARSS (2006)
Keyphrases
- decision stumps
- hyperspectral image classification
- weak classifiers
- decision forest
- ensemble learning
- learning algorithm
- training data
- kernel machines
- logistic regression
- selection algorithm
- active learning
- multi class
- decision trees
- object detection
- base classifiers
- variable selection
- support vector machine
- hyperspectral images
- support vector
- hyperspectral
- image features
- generalization bounds
- feature selection
- feature set
- linear combination
- face recognition