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Attribute information from social network users can be used as a basis for grouping users, sharing content, and recommending friends. However, in practice, not all users provide their attributes. In this paper, we try to use information from both the graph structure of the social network and the known attributes of users to predict the unknown attributes of users. Considering the topological structure...
New Vacuum Solar Telescope (NVST) possesses a world-class solar telescope which observes the sun by high resolution image instruments and multi-wave spectrometer in visible and near infrared bands. NVST has gathered millions of Flexible Image Transport System (FITS) files since it has been for the routine observation and thousands of files are generated in a day. To search efficiently for a subset...
With the development of mobile web integration technologies and wireless sensor networks, the interactive activities of human society increasingly rely on the heterogeneous network environment including the communication network, the Internet and sensor networks. This paper tries to apply socially aware computing and data mining to the mobile web application integration technology. It emphasizes understanding...
The research described in this paper explores an effective way to support e-business tasks through semantic services oriented architecture (SSOA). A proposed SSOA and its technology roadmap are discussed from a number of e-business perspectives including consumers, suppliers, integrations and cooperation. Supply chain management is a typical sector within e-business. A supply chain case study is provided...
We study the average distortion introduced by quantizing compressive sensing measurements. Both uniform quantization and non-uniform quantization are considered. The asymptotic distortion-rate functions are obtained when the measurement matrix belongs to certain random matrix ensembles. Furthermore, we adapt two well-known compressive sensing reconstruction algorithms to accommodate the quantization...
We study the average distortion introduced by scalar, vector, and entropy coded quantization of compressive sensing (CS) measurements. The asymptotic behavior of the underlying quantization schemes is either quantified exactly or characterized via bounds. We also modify two benchmark CS reconstruction algorithms to accommodate quantization effects, and empirically demonstrate that these methods significantly...
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