First, we construct the Direction Prediction Model (DPM) to predict the spatiotemporal correlation of the target in the next frame. That will efficiently narrow down the search area and improve the accuracy of spatial location. Then, Occlusion Detection algorithm (ODA) is presented to overcome ...
For graphics processing unit (GPU)-compatible methods (GraphST, SpiceMix, STAGATE and SpaGCN), we repeated the scalability benchmarking on a GPU server (Extended Data Fig. 10). BANKSY on a central processing unit (CPU) server was faster and eight times more scalable than these methods on ...
To address this, we propose a novel deep learning framework MMGN, which integrates multiplex networks and pan-cancer multiomics data using graph neural ... X Li,J Li,J Hao,... - 《Big Data Mining & Analytics》 被引量: 0发表: 2024年 Spatio-temporal transcriptome dynamics coordinate rapid ...
Multi-GPU distributed training for large or fine-grain spatio-temporal domains Built on top of Tensorflow 2.0 for increased support in new functionality exclusive to recent TF releases, such asXLA support,autographfor efficent graph-building, andgrappler supportfor graph optimization* - with no chance...
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?. https://arxiv.org/abs/1711.09577 (2017). Smith, L. N. Cyclical learning rates for training neural networks. in Proc 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). (IEEE, 2017). Zhou, B....
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PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS, London, UK, 29 May–2 June 2023. [Google Scholar] Di, X.; Shi, R.; Mo, Z...
PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS, London, UK, 29 May–2 June 2023. [Google Scholar] Di, X.; Shi, R.; Mo, Z...
Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA. IEEE Trans. Med. Imaging 2019, 38, 1715–1725. [Google Scholar] [CrossRef] Calhoun, V.; Adali, T. Unmixing fMRI with independent component analysis. IEEE Eng. Med. Biol. Mag. 2006, 25, 79–90. [...
Research on the spatiotemporal evolution of mangrove forests in the Hainan Island from 1991 to 2021 based on SVM and Res-UNet Algorithms. Remote Sens. 2022, 14, 5554. [Google Scholar] [CrossRef] Sun, Z.; Jiang, W.; Ling, Z.; Zhong, S.; Zhang, Z.; Song, J.; Xiao, Z. Using ...