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Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas

机译：基于贪婪选择不同区域的代表性节点的大规模空间网络近似提取功能类似地区的近似提取

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Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama;
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1. Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas [J] . Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Applied Network Science . 2018,第1期

机译：基于贪婪选择不同区域的代表性节点，提高从大型空间网络近似提取功能相似区域的能力
2. Greedy distributed node selection for node-specific signal estimation in wireless sensor networks [J] . Joseph Szurley, Alexander Bertrand, Peter Ruckebusch, Signal processing . 2014,第jana期

机译：贪婪的分布式节点选择，用于无线传感器网络中特定于节点的信号估计
3. Dynamic node selection in camera networks based on approximate reinforcement learning [J] . Li Qian, Sun Zhengxing, Chen Songle, Multimedia Tools and Applications . 2016,第24期

机译：基于近似强化学习的摄像机网络动态节点选择
4. Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning [C] . Takayasu Rishimi, Kazumi Saito, Tetsuo Ikeda, International workshop on complex networks and their applications . 2018

机译：基于转移学习的大规模空间网络功能簇快速提取方法
5. Determination of spatial representativeness of the IMPROVE network by detailed analysis of four case studies in the WRAP region. [D] . Smiley, Alissa M. 2005

机译：通过详细分析WRAP区域中的四个案例研究，确定IMPROVE网络的空间代表性。
6. A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink [O] . Chuan Zhu, Sai Zhang, Guangjie Han, 2016

机译：带有移动接收器的大规模无线传感器网络的贪婪扫描数据收集策略
7. Greedy distributed node selection for node-specific signal estimation in wireless sensor networks [O] . Szurley Joseph, Bertrand Alexander, Ruckebusch P, 2014

机译：贪婪的分布式节点选择，用于无线传感器网络中特定于节点的信号估计

Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas

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