Impact of class noise on performance of hyperspectral band selection based on neighborhood rough set theory
Sign Up to like & getrecommendations! Published in 2019 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.03.003
Abstract: Abstract Hyperspectral imaging has the ability for characteristic identification because of its rich physical and chemical information. To develop online or portable devices for industrial applications, informative spectral bands relevant to the specific objects are… read more here.
Keywords: neighborhood rough; class noise; performance; rough set ... See more keywords
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2873791
Abstract: The existing noise detection methods required the classifiers or distance measurements or data overall distribution, and ‘curse of dimensionality’ and other restrictions made them insufficiently effective in complex data, e.g., different attribute weights, high-dimensionality, containing… read more here.
Keywords: class noise; random forest; noise filtering; crf ... See more keywords