Performance evaluation of rotation forest for svm-based recursive feature elimination using hyperspectral imagery.
Ismail ColkesenTaskin KavzogluPublished in: WHISPERS (2016)
Keyphrases
- recursive feature elimination
- hyperspectral imagery
- support vector machine
- cancer diagnosis
- feature selection
- terms of classification accuracy
- gene selection
- feature selection algorithms
- hyperspectral images
- multispectral
- support vector
- remote sensing
- hyperspectral
- random forest
- ensemble methods
- ensemble classifier
- image processing
- classification accuracy
- svm classifier
- multi class
- feature vectors
- infrared
- prediction accuracy
- decision trees
- base classifiers
- change detection
- generalization ability
- concept drift
- active learning
- pattern recognition
- text categorization