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Human detection plays a crucial role in a number of real world applications. Because of the popularity of smart car, Virtual Reality (VR) and other applications, strong demand of real-time detecting rises. The efficiency of a human detection algorithm becomes more crucial than ever before. In this work, a novel human detection framework combining the Histograms of Oriented Gradients (HOG) feature,...
In this paper, a new auxiliary function is proposed for large scale global optimization. For the problems with a lot of local optimal solutions, the proposed auxiliary function can eliminate all local optimal solutions no better than those obtained local optimal solution and find a better local optimal solution. To enhance efficiency and effectiveness of evolutionary algorithms, the proposed auxiliary...
Data analyzing and processing are important tasks in cloud computing. The MapReduce framework has been increasingly used to analyze large-scale data over large clusters. Compared with parallel relational database, it has the advantages of excellent scalability and good fault tolerance. However, its performance is not as good as that of parallel relational database. How to efficiently implement join...
The self-adaptive genetic algorithm, its main thought is to let control parameter (population, hybridization rate and mutation rate) adjusted adaptively within the proper range find the best parameter of the corresponding problem, thus received optimum which has stronger adaptability. It is proved that the self-adaptive genetic algorithm is with excellent convergence and higher precision than the...
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