Automatic classification of fundus blood vessels into artery and vein is one of the important topics in fundus image analysis. The conventional method, which employs pixel-wise training data, takes high costs for crea...
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Based on structural hole theory, this study explores the differences in the ability of Chinese social media users with different characteristics to provide accurate information. Using over 20 million interactive data ...
Based on structural hole theory, this study explores the differences in the ability of Chinese social media users with different characteristics to provide accurate information. Using over 20 million interactive data from 2.19 million users, we construct a social network and identify structural hole spanners and ordinary users. As key players in a network, structural hole spanners are typically located at the intersections of different groups or information sources. They differ from ordinary users in the way they gather and disseminate information. The empirical results indicate that the accuracy of market judgements by structural hole spanners is at least 12.38 % higher than that of ordinary users. Strategy simulations show that using information from structural hole spanners to make investment decisions can achieve a 116 % cumulative return during the backtesting period, nearly four times that of ordinary users. This information advantage occurs primarily because opinion distance and information uniqueness play significant roles in improving information accuracy. This study not only helps deepen understanding of information dissemination characteristics among heterogeneous users on social media but also provides empirical support for the application of structural hole theory in finance, with important theoretical and practical implications.
The moiré pattern refers to the interference fringes generated by two equal amplitude sinusoids with close frequencies. In digital imaging, images collected in some scenes are vulnerable to moiré, such as im...
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In this paper, we propose a cylindrical stitching method which based on template frame image to realize 360° panoramic video stitching. Firstly, we selected template frame to determine the camera parameters and d...
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This paper considers the minimax regret 1-sink location problem in dynamic path networks. In our model, a dynamic path network consists of an undirected path with positive edge lengths and uniform edge capacity, and e...
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In recent years, convolutional neural networks (CNNs) have obtained promising results in single-image super-resolution (SR) for remote sensing images. However, most existing methods are inadequate for remote sensing i...
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Brain lesions, especially White Matter Lesions, are not only associated with cardiac and vascular disease, but also with normal aging. Quantitative analysis of WMLs in large clinical trials is becoming more and more i...
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Quantum error correction is essential for achieving large-scale quantum computing. Large-scale quantum state detection requires low-power embedded memory that can operate at 4K. Embedded Dynamic Random Access Memory i...
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Histogram of oriented gradient (HOG) feature has been widely used in vehicle detection. In this paper, a modified version of HOG is proposed by introducing compass gradient into the HOG calculation. Three different ve...
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MLE(Maximum Likelihood Estimation) is widely applied in system identification because of its consistency, asymptotic efficiency and sufficiency. However gradient-based optimization of the likelihood function might end...
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