Multiple-instance ensemble learning for hyperspectral images
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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