Multi-Instance Ensemble Learning With Discriminative Bags
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3125040
Abstract: Multi-instance learning (MIL) is more general and challenging than traditional supervised learning in that labels are given at the bag level. The popular feature mapping approaches convert each bag into an instance in the new… read more here.
Keywords: ensemble learning; instance ensemble; multi instance; learning discriminative ... See more keywords
Multiple-instance ensemble learning for hyperspectral images
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.11.045009
Abstract: Abstract. An ensemble framework for multiple-instance (MI) learning (MIL) is introduced for use in hyperspectral images (HSIs) by inspiring the bagging (bootstrap aggregation) method in ensemble learning. Ensemble-based bagging is performed by a small percentage… read more here.
Keywords: multiple instance; learning hyperspectral; instance ensemble; ensemble learning ... See more keywords