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Although many successful ensemble clustering approaches have been developed in recent years, there are still two limitations to most of the existing approaches. First, they mostly overlook the issue of uncertain links, which may mislead the overall consensus process. Second, they generally lack the ability to incorporate global information to refine the local links. To address these two limitations,...
In the past few years, instant messaging (IM) has been widely used in daily communication. However, due to the dispersion of topics and meaningless chatting, online IM groups are filled with useless messages. In order to help IM users capture what the IM group is talking about without reading all the messages, topic discovery in instant messages becomes a significant but challenging research task...
Map matching (MM), pins the drifting position data to the correct road link on which a vehicle is travelling, is a crucial step needed by many industrial or research ITS projects which rely on post-hoc analysis of trajectories. To address the unprecedented challenge of massive GPS data processing in urban transportation data center nowadays, this paper proposed an improved parallel topological map-matching...
The tremendous growth of vehicles has led to severe problems for energy and the environment. More and more research work on eco driving has been made to devote the fuel efficient intelligent driving. This paper works on the eco routing, which is one of important aspects of eco driving, and which is to find some more eco-friendly routes for the driver in terms of minimum fuel consumption and vehicle...
In this paper, a two-level integral equation fast Fourier transform (IE-FFT) algorithm has been proposed to analyze full-wave electromagnetic scattering problems. In two-level IE-FFT algorithm, the problem domain is first partitioned into large cartesian cells. Next, the Green's function between two well-separated cells is approximated by interpolation technique. Different from Lagrange interpolation...
Protein subcellular localization prediction is important to functional annotation of protein. In this study, a hybrid system based on the sorting mechanism of protein was proposed to predict protein subcellular localization. At first, an unknown protein sequence was divided into two sub-sequences at certain position, then features were extracted from them and combined into a fusion feature vector...
This paper proposes a framework of face tracking with classification, which can better meet the real requirements in the surveillance systems. Face tracking is performed by a novel constrained CAMShift algorithm, namely CAMShift- C, by posing three restrict conditions, including evaluation of location accuracy, scale of face area and dynamic histogram updating. The advantages of LBP-based face classification...
In order to fully consider the topology relationship among the anchor nodes and the topology relationship between the anchor nodes and unknown nodes, an Improvement of DV-Hop Algorithm Based on Collinearity is proposed. The main principle of the proposed scheme is to introduce the concept of normalized colinearity (NC) into the selection phase of beacon nodes. Based on DV-Hop, best available anchor...
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