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作品数：333被引量：577H指数：10
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Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images
《Science China(Information Sciences)》2023年第4期120-121,共2页Jiao SHI Tiancheng WU Hanwen YU A.K.QIN Gwanggil JEON Yu LEI 
supported by National Natural Science Foundation of China (Grant No. 62076204)。
With the increasing complexity of application scenarios,the fusion of different remote sensing data types has gradually become a trend,which can greatly improve the utilization of massive remote sensing data.While the...
关键词：images COMPOSITE MASSIVE 
Improving multi-layer spiking neural networks by incorporating brain-inspired rules被引量：4
《Science China(Information Sciences)》2017年第5期222-232,共11页Yi ZENG Tielin ZHANG Bo XU 
supported by Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB02060007);Beijing Municipal Commission of Science and Technology (Grant Nos. Z151100000915070, Z161100000216124)
This paper introduces seven brain-inspired rules that are deeply rooted in the understanding of the brain to improve multi-layer spiking neural networks（SNNs）. The dynamics of neurons, synapses, and plasticity model...
关键词：brain-inspired rules spiking neural network PLASTICITY classification task 
MLXR： multi-layer obstacle-avoiding X-architecture Steiner tree construction for VLSI routing被引量：1
《Science China(Information Sciences)》2017年第1期207-209,共3页Xing HUANG Wenzhong GUO Genggeng LIU Guolong CHEN 
supported in part by National Basic Research Program of China (Grant No. 2011CB808000);National Natural Science Foundation of China (Grants Nos. 11271002, 11501114);Fujian Natural Science Funds for Distinguished Young Scholar (Grant No. 2014J06017);Program for New Century Excellent Talents in Fujian Province (Grant No. JA13021)
Dear editor, Rectilinear Steiner minimal tree （RSMT） has been widely used in several modern very large scale integration （VLSI） circuit design phases. Because of its importance, it has been fully studied in the pa...
关键词：VLSI MLXR multi-layer obstacle-avoiding X-architecture Steiner tree construction for VLSI routing tree 
Identifying disease modules and components of viral infections based on multi-layer networks被引量：3
《Science China(Information Sciences)》2016年第7期11-25,共15页Yuanyuan LI Xiufen ZOU 
supported by Major Research Plan of the National Natural Science Foundation of China (Grant Nos. 91530320, 91230118);Research Foundation of Hubei Province Department of Education (Grant No. Q20151505)
With the emergence of multi-dimensional data, we can more comprehensively analyze the pathogenic mechanisms of complex diseases, and thereby improve the diagnosis, treatment and prevention of these diseases. This stud...
关键词：multi-dimensional data multi-layer network complex disease virus infection disease modules 
A multi-layer grid approach for fluid animation被引量：1
《Science China(Information Sciences)》2011年第11期2269-2278,共10页TAN Jie YANG XuBo ZHAO Xin YANG ZhanXin 
supported by the National Natural Science Foundation of China (Grant No.60970051);the National Basic Research Program of China (Grant No. 2009CB320804)
Real fluid phenomena often present multi-scale behavior, such as tiny splashes and foams in the ocean and small vortexes near the bank of a wide river, which requires sufficiently fine grids and long computational tim...
关键词：Navier-Stokes equation fluid animation multi-layer grids computer graphics 
Multi-layer network architecture in support of end-to-end transparent optical connectivities被引量：2
《Science China(Information Sciences)》2011年第3期674-682,共9页GUO HongXiang WU Jian HONG XiaoBin LIN JinTong 
supported by Chinese University Scientific Fund (Grant No. 2009RC0408);the National High-Tech Research & Development Program of China (Grant Nos. 2009AA01Z256, 2009AA01Z253, 2008AA01A331)
In order to effectively accommodate a wide variety of emerging and future applications with diverse requirements, an intelligent optical network capable of the rapid and resilient delivery of on-demand transparent tra...
关键词：multi-layer network transparent optical network OBS WSON GMPLS 
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