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DNNs (Deep Neural Networks) have demonstrated great success in numerous applications such as image classification, speech recognition, video analysis, etc. However, DNNs are much more computation-intensive and memory-intensive than previous shallow models. Thus, it is challenging to deploy DNNs in both large-scale data centers and real-time embedded systems. Considering performance, flexibility, and...
For GNSS receivers where ground aiding service such as AGPS is not available, space borne GNSS aiding based on LEO satellites is a meaningful alternative. For space-borne GNSS aiding, Doppler positioning is generally used for user position initialization. In extreme cases, Doppler positioning may be the only means for positioning. In this work, we analyzed the doppler positioning performance bounds...
As the fast development of online social media, social network services have become an important research area nowadays. Particularly, microblog as new social media needs more attention. Most of current studies are usually static descriptions or explanations of what already has happened. Limited study has been conducted focusing on SNS users and analysing their behaviors dynamically. In this paper,...
As the advancement of sensing and networking technologies, participatory sensing has raised more and more attention as it provides a promising way enabling public and professional users to gather and analyze private data to understand the world. However, in these participatory sensing applications both data at the individuals and analysis results obtained at the users are usually private and sensitive...
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