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Min-Hsien Weng, Shaoqun Wu and Mark Dyer
With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that u...
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Cheng Ding, Liguo Weng, Min Xia and Haifeng Lin
Building and road extraction from remote sensing images is of great significance to urban planning. At present, most of building and road extraction models adopt deep learning semantic segmentation method. However, the existing semantic segmentation meth...
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Junqing Huang, Liguo Weng, Bingyu Chen and Min Xia
Analyzing land cover using remote sensing images has broad prospects, the precise segmentation of land cover is the key to the application of this technology. Nowadays, the Convolution Neural Network (CNN) is widely used in many image semantic segmentati...
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Liguo Weng, Yiming Xu, Min Xia, Yonghong Zhang, Jia Liu and Yiqing Xu
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the f...
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Liguo Weng, Xiaodong Zhang, Junhao Qian, Min Xia, Yiqing Xu and Ke Wang
Non-intrusive load disaggregation (NILD) is of great significance to the development of smart grids. Current energy disaggregation methods extract features from sequences, and this process easily leads to a loss of load features and difficulties in detec...
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Le Yuan, Min Zhou, Can Wang, Qinyong Zhang, Xiaolong Weng and Longjiang Deng
Al/Ni bimetallic core-shell pigments with flake Al particle as core and metallic Ni as shell were synthesized via a galvanic displacement method and studied with X-ray diffraction, scanning electron micrograph (SEM), specific surface area analysis (BET),...
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Min Weng, Qin Xiong and Mengjun Kang
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Chin-Sheng Chen and Chi-Min Weng
The existing trademark image retrieval (TIR) approaches mostly use complex image features, the integration of multi features, a tree structure, etc. to enable highly accurate retrieval. However, there is the heavy computational burden for complex image f...
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