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Heterogeneous networks have become an important model to represent complex network. However, many existing community detection methods for dynamic network are hardly applied in heterogeneous networks. In this paper, we present a multi-view learning based algorithm for dynamic heterogeneous networks, which treats network individually, combines heterogeneous information and improves the quality. Compared...
For the modulation identification problem of CDMA2000 1x EV-DO Rev.A reverse data channel in low SNR, this paper proposes a joint identification algorithm based on singular value decomposition and cluster analysis. The algorithm identifies a part of the modulation types by the relation between the spread spectrum period and modulation types. Firstly, the algorithm estimates the spread spectrum period...
The emerging cloud computing is developing into a new enable technology for service integration, making essential conditions for the appearance of public clouds, which integrate external services and provide services to third-party users. In contrary with traditional application integration, the service integrated in public clouds has to deal with a larger scale user accesses and monitor the execution...
This paper describes a system for automatically extracting meta-information on people from videos on the Web. The system contains multiple modules which automatically track people, including both faces and bodies, and clusters the people into distinct groups. We present new technology and significantly modify existing algorithms for body-detection, shot-detection and grouping, tracking, and track-clustering...
Network diameter is one of the important parameters of a network, until now, however, there has not been a perfect algorithm which has a lower time complexity than O(n2) to deal with this problem. As increasingly expanding of network scale and increasing number of nodes and edges, it would spend a lot of time that using Floyd algorithm whose time complexity is defined O(n3) or Breadth-first Search(BFS)...
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