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In hyperspectral image classification, jointly using the pixels in an image patch can generally improve the performance. Recently, a new hyperspectral image classification method, which is based on low-rank decomposition model, was proposed by Chen et al. Although this algorithm can achieve state-of-the-art performance and outperform many contemporary classification techniques by jointly classifying...
Objective assessment of pain scale is essential to the understanding of its mechanism as well as the development of pain treatments. The purpose of this work is to develop an objective metrics for measuring endogenous pain scale by analyzing resting magnetoencephalographic data. The data used in this study were collected from fourteen PDM patients at the menstrual phase. Features were extracted by...
Natural disaster is one of the important factors that restrict regional sustainable development. Therefore, the study of models and tools of disaster vulnerability is a key issue for mitigating the consequences and risks of natural disaster in today's world. The paper takes Fujian province of China as an example to study the application of entropy weight theory in typhoon disaster vulnerability assessment...
Data broadcast is an advanced technique to realize large scalability and bandwidth utilization in a mobile computing environment. In the heterogeneous data broadcast, the data size is variant with time in multiple broadcast channels. However, traditional indexing schemes do not consider variant data size to design indexing techniques in the multiple channels. Therefore, the above drawback leads to...
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