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Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The quality and quantity of data have increased in the last decades, resul...
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is a powerful tool that ...
Natural Language Parsing has been the most prominent research area since the genesis of Natural Language Processing. Probabilistic Parsers are being developed to make the process of parser development...
As the number of manually acquired rules in a patent translation system increases, conflicts between rules inevitably exist. Meanwhile, lacking the matched cases of manually acquired rules in real bil...
Every reliability analysis effort, in some way, involves searching the state space of the system for those states that represent the events of interest, typically failure of the system or a given node...
This paper presents an overall introduction to the CWMT2008 evaluation and focuses on its two new metrics: BLEU-SBP (Chiang et al., 2008) and linguistic check-point me-thod (Zhou et al., 2008). BLEU-S...

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