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Multiview canonical correlation analysis (MCCA) is an effective tool for analyzing the relationships among group- aligned multidimensional samples, which has been applied to the fields of pattern recognition and computer vision. In MCCA, its first-stage canonical variables are solved by a multivariate eigenvalue problem that can be computed by Horst method. However, how to use the algorithm for effectively...
I frame or I slice which adopts the intra prediction is a key part of video coding. Intra prediction is important because the prediction accuracy directly affects the efficiency of the following transformation, quantization and entropy coding. According to the case of intra mode selection in HEVC, it is necessary to improve the prediction for the two most frequently used modes, DC and PLANAR. A significant...
The paper proposes the evaluation method on operational risk of power grid enterprises based on entropy weight and improved grey relation analysis. Firstly, it uses entropy weight to fix the weights of index system for the operational risk of power grid enterprises. Secondly, it determines grey weighted related degree of ideal object for each power grid enterprise, and then evaluates operational risk...
Congestion in wireless sensor networks (WSNs) not only causes severe information loss but also leads to excessive energy consumption. To address this problem, a novel scheme for congestion avoidance, detection and alleviation (CADA) in WSNs is proposed in this paper. By exploiting data characteristics, a small number of representative nodes are chosen from those in the event area as data sources,...
On the basis of the deep search and analysis of the relative literature of virtual R&D team, the article summaries a total of 11 key factors which influence the virtual R&D team performance. And the article uses "input - process - output" model (IPO: input-process-output)to build a performance influencing factors model of virtual R&D team, and brings up theoretical assumptions...
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