Results 21 to 30 of about 13,581,527 (336)
Deformable Convolutional Networks [PDF]
IEEE International Conference on Computer Vision, 2017 Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in their building modules.
Jifeng Dai +6 more
semanticscholar +1 more source
Graph Neural Networks: A Review of Methods and Applications [PDF]
AI Open, 2018 Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics system, learning molecular fingerprints, predicting protein interface, and classifying diseases require a model to learn from
Jie Zhou +5 more
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to computer vision and natural language processing, it attracted much
Zewen Li +4 more
semanticscholar +1 more source
From sand to networks: a study of multi-disciplinarity [PDF]
, 2005 In this paper, we study empirically co-authorship networks of neighbouring scientific disciplines, and describe the system by two coupled networks. By considering a large time window, we focus on the properties of the interface between the disciplines ...
Albert +25 more
core +3 more sources
Densely Connected Convolutional Networks [PDF]
Computer Vision and Pattern Recognition, 2016 Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.
Gao Huang +2 more
semanticscholar +1 more source
Dizhen xuebao, 2023 基于定性分析和Morlet小波分析方法，研究了我国台湾地区的主要构造带和强震分布特征。1900年以来台湾地区MS≥7.0地震存在三个活跃时段：第一个活跃时段为1902—1925年，长达近23年；第二个活跃时段为1935—1978年，约43年；第三个活跃时段为1986—2006年，时长20年。台湾自2006年12月26日恒春海域发生MS7.2地震之后，MS≥7.0地震平静已近16年，为历史最长平静时段，存在开始新的活跃时段的可能。从区域分布看，台东地震带MS≥6.9地震具有六个活动周期 ...
Xian Lu +7 more
doaj +1 more source
Journal of Computational Physics, 2019 We introduce physics-informed neural networks – neural networks that are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations.
M. Raissi, P. Perdikaris, G. Karniadakis
semanticscholar +1 more source
Feature Pyramid Networks for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2016 Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are ...
Tsung-Yi Lin +5 more
semanticscholar +1 more source
Empirical Comparison of Graph-based Recommendation Engines for an Apps Ecosystem
International Journal of Interactive Multimedia and Artificial Intelligence, 2015 Recommendation engines (RE) are becoming highly popular, e.g., in the area of e-commerce. A RE offers new items (products or content) to users based on their profile and historical data.
Luis F. Chiroque +7 more
doaj +1 more source
Anisotropic change in apparent resistivity before earthquakes of MS ⩾ 7.0 in China mainland
Geomatics, Natural Hazards & Risk, 2022 Since 1967 when DC apparent resistivity observation was carried out in China, there have been 16 times or groups of earthquake of MS ≥ 7.0 occurred within about 400 km from the monitoring stations.
Tao Xie, Yan Xue, Qing Ye, Jun Lu
doaj +1 more source