Deep Residual Learning for Boosting the Accuracy of Hyperspectral Pansharpening
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2945424
Abstract: Recently, deep learning (DL) has gained impressive achievements in the field of remote sensing image fusion. However, most of the previous DL-based fusion methods are originally designed for multispectral pansharpening, which cannot be readily employed… read more here.
Keywords: accuracy hyperspectral; learning boosting; deep residual; hyperspectral pansharpening ... See more keywords
Identifying Chemical-Disease Relationship in Biomedical Text Using a Multiple Kernel Learning-Boosting Method
Sign Up to like & getrecommendations! Published in 2017 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-830-3-1288
Abstract: Chemical-induced disease relations (CID) are crucial in various biomedical tasks. In the CID task of Biocreative V, no classifiers with multiple kernels have been developed. In this study, a multiple kernel learning-boosting (MKLB) method is… read more here.
Keywords: learning boosting; multiple kernel; identifying chemical; disease ... See more keywords