Results 11 to 20 of about 318,999 (276)
Hopping in the crowd to unveil network topology [PDF]
Physical Review Letters, 2017 We introduce a nonlinear operator to model diffusion on a complex undirected network under crowded conditions. We show that the asymptotic distribution of diffusing agents is a nonlinear function of the nodes' degree and saturates to a constant value for
Asllani, Malbor +4 more
core +6 more sources
Meta measurement of intelligence with crowd network
International Journal of Crowd Science, 2020 PurposeThe multiple factors of intelligence measurement are critical in intelligent science. The intelligence measurement is typically built as a model based on multiple factors.
Zheming Yang, Wen Ji
doaj +2 more sources
Mask-Aware Networks for Crowd Counting [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 Crowd counting problem aims to count the number of objects within an image or a frame in the videos and is usually solved by estimating the density map generated from the object location annotations. The values in the density map, by nature, take two possible states: zero indicating no object around, a non-zero value indicating the existence of objects
Shengqin Jiang +3 more
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Dense Scale Network for Crowd Counting [PDF]
Proceedings of the 2021 International Conference on Multimedia Retrieval, 2021 Crowd counting has been widely studied by computer vision community in recent years. Due to the large scale variation, it remains to be a challenging task. Previous methods adopt either multi-column CNN or single-column CNN with multiple branches to deal with this problem. However, restricted by the number of columns or branches, these methods can only
Feng Dai +4 more
openaire +3 more sources
On Crowd-verification of Biological Networks [PDF]
Bioinformatics and Biology Insights, 2013 Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. This article presents a crowd-verification approach for the visualization and expansion of biological networks.
Sam Ansari +16 more
openaire +4 more sources
Effects of Macromolecular Crowding on Genetic Networks [PDF]
Biophysical Journal, 2011 The intracellular environment is crowded with proteins, DNA, and other macromolecules. Under physiological conditions, macromolecular crowding can alter both molecular diffusion and the equilibria of bimolecular reactions and therefore is likely to have a significant effect on the function of biochemical networks.
M.J. Morelli +2 more
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Encoder-Decoder Network Fusing Channel and Spatial Attention for Crowd Counting [PDF]
Jisuanji kexue yu tansuo, 2022 The purpose of crowd counting is to accurately predict the number, distribution and density of crowds in real scenes. However, crowd counting often suffers from some problems such as complex background, diverse target scales, and cluttered crowd ...
YU Ying, PAN Cheng, ZHU Huilin, QIAN Jin, TANG Hong
doaj +1 more source
Modeling and Verification of Simulation-Oriented Digital Selves
International Journal of Crowd Science, 2023 Networked life has now become one of our major life forms. In social networks, each individual has its own attributes and certain functions, which makes the current network present characteristics that the previous network did not have.
Zhaotong Wang, Hongbo Sun
doaj +1 more source
DMPNet: densely connected multi-scale pyramid networks for crowd counting [PDF]
PeerJ Computer Science, 2022 Crowd counting has been widely studied by deep learning in recent years. However, due to scale variation caused by perspective distortion, crowd counting is still a challenging task.
Pengfei Li +3 more
doaj +2 more sources
IEEE Access, 2019 This paper proposes an automatic scale-adaptive approach with attention mechanism-based crowd spatial information addressing the crowd counting task, i.e. a novel cascaded crowd counting network.
Weihang Kong +3 more
doaj +1 more source