supported by National Natural Science Foundation of China(Grant Nos.61703426,61876189,61806219);China Post-Doctoral Science Foundation(Grant No.2018M633680);Young Talent Fund of University Association for Science and Technology in Shaanxi,China(Grant No.20190108);Innovation Talent Supporting Project of Shaanxi,China(Grant No.2020KJXX-065)。
In temporal information fusion,the information collected by sensors is obtained dynamically with the passage of time.Unlike the spatial information fusion,temporal fusion should be dynamic.Evidence theory has been app...
supported by National Key R&D Program of China(Grant No.2018YFB1800802);National Natural Science Foundation of China(Grant No.61871051)。
In the optical networks,the dynamicity,the complexity and the heterogeneity have dramatically increased owing to the deployment of advanced coherent techniques,and the optical cross-connect technologies and diverse ne...
supported by National Key R&D Program of China(Grant No.2018YFB-1004800);National Natural Science Foundation of China(Grant No.61725201);Talent Program of Fujian Province for Distinguished Young Scholars in Higher Education
Dear editor,Self-adaptation is a promising approach to allocateresources for cloud-based software services[1,2].Traditional self-adaptive resource-allocation meth-ods are rule-driven,which leads to high adminis-trativ...
supported by National Basic Research Program of China (973 Program) (Grant No. 2013CB035503)
As a challenging optimization problem, path planning for mobile robot refers to searching an optimal or near-optimal path under different types of constrains in complex environments. In this paper, a self-adaptive lea...
supported by National Natural Science Foundation of China (Grant Nos. 61333015, 61302127, 11326198);China Postdoctoral Science Foundation (Grant No. 2015M570228);Opening Foundation of Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology;Tianjin Key Projects in the National Science and Technology Pillar Program (Grant No. 14ZCZDGX00033);International Fostering Plan of Selected Excellent Postdoctors Subsidized by Tianjin City (2015)
The sparse representation based classification methods has achieved significant performance in recent years. To fully exploit both the holistic and locality information of face samples, a series of sparse representati...
supported by National Basic Research Program of China (973 Program) (Grant No. 2015CB352403);National Natural Science Foundation of China (Grant Nos. 61261160502, 61272099, 61303012, 61572323, 61628208);Scientific Innovation Act of STCSM (Grant No. 13511504200);EU FP7 CLIMBER Project (Grant No. PIRSES-GA-2012-318939);CCF-Tencent Open Fund
With the emerging of 3 D-stacking technology, the dynamic random-access memory(DRAM)can be stacked on chips to architect the DRAM last level cache(LLC). Compared with static randomaccess memory(SRAM), DRAM is la...
supported by National Basic Research Program of China(973)(Grant No.2012CB821206);National Natural Science Foundation of China(Grant No.61320106006)
A novel self-adaptive image denoising model based on scale correlation and Stein's unbiased risk estimate-linear expansion of thresholds(SURE-LET) in the nonsubsampled contourlet transform domain is proposed in thi...
partially supported by the National Natural Science Foundation of China (Grant No.U0835002);the Fund for Foreign Scholars in University Research and Teaching Programs (Grant No.B07033);an EPSRC (Grant No.EP/E058884/1) on "Evolutionary Algorithms for Dynamic Optimisation Problems:Design,Analysis and Applications";the Fund for Creative Research for Graduate Students of University of Science and Technology of China (Grant No.KD0901103)
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all immigrant schemes developed for EAs ...