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Neural machine translation (NMT) has shown promising results and rapidly gained adoption in many large-scale settings. With the NMT model being widely used in empirical productions, its long-standing weakness in handling the rare and out of vocabulary words has been amplified a lot. In order to release the model from the stress of “understanding” the rare words, copy mechanism has been proposed to...
We focus on the challenging problem of filamentary structure segmentation in both 2D and 3D images, including retinal vessels and neurons, among others. Despite the increasing amount of efforts in learning based methods to tackle this problem, there still lack proper data-driven feature construction mechanisms to sufficiently encode contextual labelling information, which might hinder the segmentation...
It is critical of self-adaptive software system to monitor all kinds of information in real-time and obtain relevant data of the system to make the system can adjust automatically when necessary. In order to cope with the current market needs and rapidly changing environment, and combine the Web services with self-adaptive software systems perfectly, we proposed a monitoring and prediction model for...
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