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The success of deep learning proves that deep models are able to achieve much better performance than shallow models in representation learning. However, deep neural networks with auto-encoder stacked structure suffer from low learning efficiency since common used training algorithms are variations of iterative algorithms based on the time-consuming gradient descent, especially when the network structure...
Resource discovery strategy is an important part of mobile peer-to-peer network. How to response the users' query rapidly and effectively is related to the efficiency and the performance of the mobile P2P system. In this survey, we give an overview of the background and the characteristics of mobile P2P networks. We also provide a classification for mobile P2P networks, and review the corresponding...
Advanced signal operations offer practitioners an opportunity to reduce delay at their intersections at minimal cost by using features already included in their signal control software. One advanced operations technique is phase reservice and its associated feature conditional reservice. This research examines the impact of applying these techniques to the left turn at Hall Blvd. on 99W in Tigard,...
In recent years, software vulnerabilities are one of the main causes of security incidents in computer systems. Dynamic taint analysis is an efficient method to track the flow of sensitive information for soft vulnerability mining. In this paper, we present the method for dynamic taint analysis with control dependent is to tracking sensitive information. And finally, the simulation results are proposed...
Linguistic steganography is an art of concealing secret messages. More specifically, it takes advantage of the properties of natural language, such as the linguistic structure to hide messages. In this paper, an effective method for linguistic steganography detection is presented. In virtue of the concepts in area of information theory, the method uses an information entropy-like statistical variable...
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