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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.077
Abstract: Abstract In this paper, a fast unsupervised deep fusion framework for change detection of multitemporal synthetic aperture radar (SAR) images is presented. It mainly aim at generating a difference image (DI) in the feature learning…
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Keywords:
deep fusion;
fast unsupervised;
network;
sar images ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872635
Abstract: To improve the efficiency of surgical trajectory segmentation for surgical assessment and robot learning in robot-assisted minimally invasive surgery, this paper presents a fast unsupervised method using video and kinematic data, followed by a promoting…
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Keywords:
trajectory segmentation;
fast unsupervised;
segmentation;
surgical trajectory ... See more keywords