Anti-cross validation technique for constructing and boosting random subspace neural network ensembles for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1618926
Abstract: Abstract Achieving high classification accuracy is vital in reliable information extraction from images. Single classifiers and existing ensemble methods suffer from data dimensionality, insufficient ground truth information and lack in defining optimal feature selection. This… read more here.
Keywords: classification; random subspace; validation; cross validation ... See more keywords